Recent Releases of DiffEqFlux
DiffEqFlux - v2.1.0
DiffEqFlux v2.1.0
Closed issues: - MethodError when running with NeuralODE with custom Lux layer (#825) - Running NODEs on GPU while keeping them Float64? (#826) - UODE with neural networks. Beginner questions (#831) - Scalar indexing when running UDE on GPU (#832)
Merged pull requests: - Update tests for Float32 (#824) (@ChrisRackauckas) - OptimizationFlux (#828) (@anandijain) - Updates to HNN (#829) (@avik-pal) - Migrate GPU tests to Lux (and Fix them!!) (#830) (@avik-pal)
- Julia
Published by github-actions[bot] over 2 years ago
DiffEqFlux - v2.0.0
DiffEqFlux v2.0.0
Closed issues: - DiffEqFlux Layers don't satisfy Lux API (#727) - SDEs gradients issues with EnsembleProblems (#765) - DiffEqFlux.jl and NeuralPDE.jl keep precompiling and never stop (#783) - Training Neural SDEs with Mutating Arrays (#785) - Normalizing flow example does not produce accurate estimates (#786) - Wrong order in collocations (#788) - StackOverflow Error when trying to train a NSDE with no neural network on the diffusion (#811) - Including unknown parameter values of known dynamics in UDE using Lux.jl (#812) - Documentation about Flux.jl vs Lux.jl (#815)
Merged pull requests:
- Lux compatible layers (#750) (@Abhishek-1Bhatt)
- Fix FFJORD Example (#787) (@prbzrg)
- Fix flipped collocation (#789) (@ChrisRackauckas)
- [skip ci] LanguageTool (#792) (@ArnoStrouwen)
- CompatHelper: add new compat entry for Functors at version 0.4, (keep existing compat) (#793) (@github-actions[bot])
- Deprecate FastChain and sciml_train for v2.0 (#794) (@ChrisRackauckas)
- One more spot to mark with Flux (#796) (@Abhishek-1Bhatt)
- Flux.cpu (#797) (@Abhishek-1Bhatt)
- Specify Flux in all layers (#799) (@Abhishek-1Bhatt)
- Remove unused packages and undefined exports (#803) (@prbzrg)
- Switch to LuxCore (#804) (@Abhishek-1Bhatt)
- fix NeuralCDDE error (#805) (@vpuri3)
- Add neural ODE weather forecasting example (#807) (@SebastianCallh)
- CompatHelper: add new compat entry for DataDeps at version 0.7 for package docs, (keep existing compat) (#808) (@github-actions[bot])
- CompatHelper: add new compat entry for DataFrames at version 1 for package docs, (keep existing compat) (#809) (@github-actions[bot])
- CompatHelper: add new compat entry for CSV at version 0.10 for package docs, (keep existing compat) (#810) (@github-actions[bot])
- Use CA directly instead of using it via Lux (#813) (@avik-pal)
- Add a description of Flux vs Lux (#819) (@ChrisRackauckas)
- enable dependabot for GitHub actions (#821) (@ranocha)
- CompatHelper: bump compat for DataInterpolations to 4, (keep existing compat) (#823) (@github-actions[bot])
- Julia
Published by github-actions[bot] almost 3 years ago
DiffEqFlux - v1.53.0
DiffEqFlux v1.53.0
Closed issues: - Performance drop when enabling bias in FastDense (#757) - Specifying adjoint methods for gradient calculations? (#766) - UndefVarError: FastDense not defined (#767) - ERROR: MethodError: no method matching length(::Nothing) (#768) - ERROR: MethodError: no method matching copy (#770)
Merged pull requests: - Fix a typo (#754) (@prbzrg) - Flux -> Lux (#756) (@YichengDWu) - Add Dependabot (#758) (@prbzrg) - Bump codecov/codecov-action from 1 to 3 (#759) (@dependabot[bot]) - Bump actions/checkout from 2 to 3 (#760) (@dependabot[bot]) - Bump actions/cache from 1 to 3 (#761) (@dependabot[bot]) - [skip ci] badges (#763) (@ArnoStrouwen) - MassInstallAction: Install the Invalidations workflow on this repository (#764) (@devmotion) - Update CompatHelper.yml (#769) (@devmotion) - updated README and make.jl as per sciml template (#774) (@00krishna) - canonize docs (#775) (@ArnoStrouwen) - added reproducibility to index.md and make.jl (#777) (@00krishna) - CompatHelper: bump compat for LoggingExtras to 1, (keep existing compat) (#778) (@github-actions[bot]) - Update Links (#779) (@prbzrg) - doc compat (#782) (@ArnoStrouwen)
- Julia
Published by github-actions[bot] about 3 years ago
DiffEqFlux - v1.52.0
DiffEqFlux v1.52.0
Closed issues:
- Suggestion: Change dimension order on NeuralODE to match convention of ML batch (#111)
- ERROR: LoadError: MethodError: no method matching getindex(::Ptr{typeof(DiffEqBase.ODEDEFAULTNORM)}) (#714)
- Warning: ignore(f) is deprecated, use ChainRulesCore.ignore_derivatives(f) instead. (#745)
- Problems defined by parametric and neural network functions (#746)
- Tutorials Copy-Pasteable Code Error: LoadError: MethodError: objects of type Nothing are not callable (#748)
Merged pull requests: - don't create a plot if not displaying it (#747) (@chriselrod) - update Zygote.@ignore to ChainRulesCore.@ignore_derivatives (#751) (@ChrisRackauckas) - CompatHelper: add new compat entry for ChainRulesCore at version 1, (keep existing compat) (#752) (@github-actions[bot]) - Dimension Mover Layer (#753) (@prbzrg)
- Julia
Published by github-actions[bot] over 3 years ago
DiffEqFlux - v1.51.0
DiffEqFlux v1.51.0
Closed issues:
- Neural Graph Differential Equations example not working (#684)
- Incorrect use Lux.ActivationFunction (#737)
Merged pull requests: - add cnf to the sidebar (#734) (@ChrisRackauckas) - Neural SDE tutorial (#735) (@ChrisRackauckas) - neural_sde example in Flux (#738) (@Abhishek-1Bhatt) - Fix latex typos in Hamiltonian Neural Network Tutorial (#741) (@Algopaul) - Lux.ActivationFunction not required (#742) (@Abhishek-1Bhatt) - update to SciMLSensitivity (#743) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] over 3 years ago
DiffEqFlux - v1.50.0
DiffEqFlux v1.50.0
Closed issues:
- Add doctests (#566)
- Missing normalizing flows example (#726)
- NeuralODE is not a subtype of Lux.AbstractExplicitLayer (#728)
- Neural ODE example is not working correctly (#731)
Merged pull requests: - Enable doctesting (#721) (@ChrisRackauckas) - minor fixes (#729) (@Abhishek-1Bhatt) - just remove staticdudt tests (#730) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] over 3 years ago
DiffEqFlux - v1.49.1
DiffEqFlux v1.49.1
Closed issues:
- NeuralDSDE Adjoint Fails on GPU (#138)
- Which types work as container of parameters? (#178)
- NeuralODE: modeling dynamics of system with (discontinuous) control inputs (#190)
- Nested reverse modes with fast layers (#207)
- BFGS Errors with GPU (#238)
- BoundsError: attempt to access () at index 0
- Code in LV-Jump.md blog post no longer runs (#272)
- Reproducible TypeError in scimltrain (#278)
- Why the need for Fast* layers? (#328)
- Rename DiffEqFlux? (#354)
- The MNIST Neural ODE Classifier tutorial is broken (#368)
- scimltrain crashes when fed Fluxs ::Params type (#379)
- Neural Graph Differential Equation tests disabled (#405)
- Link to stable documentation broken (#407)
- neuralodesciml example fails when Dense layer replaced by GRU (#432)
- Indexing issue caused by applychain (#436)
- Mutating Arrays not Allowed (#443)
- Optimal Control ref in exogenous input page is broken (#445)
- Support for sparse matrix ODEs (#462)
- implicit layers with neuralODEs ? (#478)
- Disable events tests (#483)
- PresetTimeCallback errors with Zygote differentiation (#502)
- Suggestion for Memory Limitations (#527)
- Unstable FastDense hash and comparison. (#555)
- SteadyStateAdjoint + GPUs: scalar getindex is disallowed (#557)
- sample code running slow on Atom (#560)
- ReverseDiff tape generation over newer Zygote versions segfaults (#586)
- ERROR: UndefVarError: eJ not defined (#588)
- Neural Graph Tutorial not working (#609)
- Note on hybrid sensitivity analysis methods needs an update? (#612)
- ERROR: LoadError: MethodError: no method matching Float32(::ReverseDiff.TrackedReal{Float64, Float32, Nothing}) (#615)
- type HMCKernel has no field integrator (#618)
- Reverse-mode VJPs with mixed scalar+vector GPU code (#632)
- Error in Neural Graph Ordinary Differential Equations example (#640)
- Best practice for taking backpropagation with logging tools for DiffEq.jl (#661)
- Add batch support to FastDense layers, mimicking Flux (#672)
- Missing optimizations in preallocation form (#680)
- Error in the UODEs training when the network enlarges (#689)
- initialparams() always identical (#690)
- PINN with TensorLayer example fails - maybe Enzyme internal error (#694)
- MethodError: no method matching Flux.Dense(::Pair{Int64, Int64}, ::typeof(NNlib.elu)) (#700)
- `scimltrain` output API documentation (#702)
- LoadError with sciml_train (#713)
- Training a NODE using multiple shooting. (#717)
Merged pull requests: - Corrections in keyword arguments for NeuralODE example (#720) (@Abhishek-1Bhatt) - Removal of deprecations (#722) (@Abhishek-1Bhatt) - Fix Some Doctests (#723) (@DhairyaLGandhi) - Fixed NeuralDSDE (#724) (@Abhishek-1Bhatt) - Update neural_de tests (#725) (@frankschae)
- Julia
Published by github-actions[bot] over 3 years ago
DiffEqFlux - v1.49.0
DiffEqFlux v1.49.0
Closed issues: - Fast vjp form (#681)
Merged pull requests: - swapped sciml_train calls with Optimization.solve() (#711) (@Abhishek-1Bhatt) - CompatHelper: add new compat entry for Lux at version 0.4, (keep existing compat) (#716) (@github-actions[bot]) - Neural ODE tutorial (#718) (@Abhishek-1Bhatt)
- Julia
Published by github-actions[bot] over 3 years ago
DiffEqFlux - v1.48.0
DiffEqFlux v1.48.0
Closed issues: - Scaling and memory consumption on GPU (#687)
Merged pull requests:
- Generalize input_params to use Flux.destructure (#697) (@DhairyaLGandhi)
- Overhaul the documentation to only focus on the DiffEqFlux components (#709) (@ChrisRackauckas)
- add deprecation warnings to FastChain and sciml_train (#710) (@ChrisRackauckas)
- Switch from GalacticOptim, Galactic* to Optimization, Optimization* (#712) (@Vaibhavdixit02)
- Julia
Published by github-actions[bot] over 3 years ago
DiffEqFlux - v1.47.1
DiffEqFlux v1.47.1
Merged pull requests:
- Keep support for cb to avoid breakage (#705) (@Vaibhavdixit02)
- Julia
Published by github-actions[bot] almost 4 years ago
DiffEqFlux - v1.47.0
DiffEqFlux v1.47.0
Merged pull requests: - CompatHelper: bump compat for GalacticOptim to 3, (keep existing compat) (#704) (@github-actions[bot])
- Julia
Published by github-actions[bot] almost 4 years ago
DiffEqFlux - v1.46.0
DiffEqFlux v1.46.0
Closed issues: - Enzyme segfault when using FastChain and AutoZygote (#691) - DimensionMismatch: arrays could not be broadcast to a common size; (#701)
Merged pull requests: - test Flux 0.13 (#699) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 4 years ago
DiffEqFlux - v1.45.3
DiffEqFlux v1.45.3
Merged pull requests: - add prediction-error method tutorial (#688) (@baggepinnen) - Disable Graph Conv test (#693) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 4 years ago
DiffEqFlux - v1.45.2
DiffEqFlux v1.45.2
Merged pull requests: - No compats on test deps (#692) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 4 years ago
DiffEqFlux - v1.45.1
DiffEqFlux v1.45.1
Merged pull requests: - typo fixes for hybrid NODE examples (#683) (@frankschae) - Added Scalar dispatch for FastDense (#686) (@Abhishek-1Bhatt)
- Julia
Published by github-actions[bot] about 4 years ago
DiffEqFlux - v1.45.0
DiffEqFlux v1.45.0
Closed issues:
- Use faster tanh? (#674)
- saveat type not matching time type can result in missed tstops in values not exactly represented in floating point numbers (#675)
- AutoZygote seems to result in segfaults (#676)
Merged pull requests:
- Preallocation Option for vjp calculation (#671) (@Abhishek-1Bhatt)
- Update and restructuring of docs on autojacvec options (#678) (@JordiBolibar)
- Use NNlib fast activations (#679) (@ChrisRackauckas)
- CompatHelper: add new compat entry for NNlib at version 0.8, (keep existing compat) (#682) (@github-actions[bot])
- Julia
Published by github-actions[bot] about 4 years ago
DiffEqFlux - v1.44.1
DiffEqFlux v1.44.1
Closed issues: - Exposing DiffEqParamEstim's Tooling (#121) - WARNING: could not import DistributionsAD.mvcategoricallogpdf into ReverseDiffX (#649) - Wrong Jacobian Matrix (#650) - Reproducibility on different operating systems (#655) - ERROR: Compiling ...: try/catch is not supported. (#660) - Error: Version input must not be null (#663) - Scalar indexing during GPU training in example (#668) - [scimltrain] ArgumentError: Initial x is not in (despite clamping io) (#669)
Merged pull requests: - use zero matrix each time in jacobianfn (#651) (@prbzrg) - Update BayesianNODENUTS.md (#654) (@QiyaoWei) - update default AD choice docs (#657) (@hexaeder) - Fix CI version choices (#664) (@ChrisRackauckas) - Fix for various changes (#666) (@ChrisRackauckas) - unmark fixed GPU test (#667) (@ChrisRackauckas) - Fix default optimizer when parameter bounds are given (#670) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] about 4 years ago
DiffEqFlux - v1.44.0
DiffEqFlux v1.44.0
Closed issues: - Regularized FFJORD (#343) - Mixed CPU+GPU adjoints (#401) - ReverseDiff/DiffEqSensitivity, BoundsError: attempt to access 56-element Array{Float54,1} at index 0 - Steady State GPU Training Hangs and Quits (#567) - maxiters: only works with optimization algs in scimltrain? (#598) - MethodError: no method matching hassyms(::SciMLBase.OptimizationFunction) (#600) - zeros32 not defined (#606) - GPU example throws errors (#608) - ERROR: LoadError: Cannot determine ordering of Dual tags ForwardDiff.Tag (#610) - Troubles with running the simple example code on: https://diffeqflux.sciml.ai/dev/ (#616) - Julia crashes during parameter estimation for a system of differential equations (#619) - Migrate to new style test-setup (#626) - Error when running copy-pasteable code from stable documentation (#634) - Optimization Issue in FFJORD with AutoZygote (#635) - Errors running unit tests (#644) - Slower performance using the GPU (#645) - tests failing with MethodError: _axes(::StrideArraysCore (#646)
Merged pull requests:
- small typo (#611) (@mahdiarsadeghi)
- Update note on sensitivity analysis for hybrid DEs (#613) (@frankschae)
- use DiagNormal instead of FullNormal (#617) (@prbzrg)
- code cleaning for ffjord (#620) (@prbzrg)
- add smoke test for ffjord (#621) (@prbzrg)
- Update other tests for FFJORD (#625) (@prbzrg)
- add FFJORD sampler (#627) (@prbzrg)
- Update References (#629) (@prbzrg)
- fix a typo (#631) (@prbzrg)
- Remove type promotion in FFJORD (#633) (@prbzrg)
- fix wrong variable in neuralodesciml.md (#637) (@wkirgsn)
- update Project.toml file (#642) (@prbzrg)
- Update Geometric Flux API (#643) (@avik-pal)
- Julia
Published by github-actions[bot] over 4 years ago
DiffEqFlux - v1.43.0
DiffEqFlux v1.43.0
Closed issues:
- multiple_shoot for EnsembleProblem (#601)
Merged pull requests:
- multiple_shoot for EnsembleProblem (#602) (@vboussange)
- CompatHelper: add new compat entry for SciMLBase at version
1 , (keep existing compat) (#605) (@github-actions[bot])
- Julia
Published by github-actions[bot] over 4 years ago
DiffEqFlux - v1.42.1
DiffEqFlux v1.42.1
Closed issues: - :nothing initialised in FastChain (#593) - Zygote sensitivities not working for ensemble ODE (#595)
Merged pull requests: - Update divergence.md (#551) (@Vaibhavdixit02) - Fix "dense.W" deprecation warning (#596) (@prbzrg) - some cosmetic changes (#597) (@prbzrg) - Fix differences between full code and documented code in CNF example (#599) (@prbzrg)
- Julia
Published by github-actions[bot] over 4 years ago
DiffEqFlux - v1.42.0
DiffEqFlux v1.42.0
Closed issues: - Possible Indexing error in multiple_shoot (#522) - incorrect initialise params in FastDense after update to Flux v0.12.5 (#594)
Merged pull requests: - Remove unfinished sentence in sciml_train docs (#589) (@gileshd) - Tutorial edits (#590) (@Gregliest) - use Flux.zeros32 (#592) (@DhairyaLGandhi)
- Julia
Published by github-actions[bot] over 4 years ago
DiffEqFlux - v1.41.0
DiffEqFlux v1.41.0
Merged pull requests: - CompatHelper: bump compat for "GalacticOptim" to "2" (#585) (@github-actions[bot])
- Julia
Published by github-actions[bot] over 4 years ago
DiffEqFlux - v1.40.1
DiffEqFlux v1.40.1
Closed issues:
- Precompilation fails: UndefVarError: HasBranchingCtx not defined (#583)
- Julia
Published by github-actions[bot] over 4 years ago
DiffEqFlux - v1.40.0
DiffEqFlux v1.40.0
Closed issues:
- Multiple shooting example doesn't work (#564)
- Calling cpu on FastChain fails. (#578)
Merged pull requests: - add hasbranching overload to auto-optimize (#580) (@ChrisRackauckas) - Use return codes in multiple shooting (#581) (@adrhill) - add device(x::FastLayer) warning (#582) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] over 4 years ago
DiffEqFlux - v1.39.0
DiffEqFlux v1.39.0
Closed issues: - Compiling Tuple{typeof(tasklocalstorage) try/catch is not supported. (#561) - Parameter Estimation Example not converged in a low error (#569) - Typo in minibatching example (#570)
Merged pull requests: - Fix #570 (#572) (@avik-pal) - Simplify and improve sciml_train heuristics (#574) (@ChrisRackauckas) - CompatHelper: add new compat entry for "Reexport" at version "1" (#575) (@github-actions[bot]) - CompatHelper: add new compat entry for "Optim" at version "1" (#576) (@github-actions[bot])
- Julia
Published by github-actions[bot] over 4 years ago
DiffEqFlux - v1.38.0
DiffEqFlux v1.38.0
Closed issues: - How to create a multilayer perceptron using DiffEqFlux.jl (#554)
Merged pull requests: - Revert "Update divergence.md" (#559) (@ChrisRackauckas) - fix typo (#562) (@IlyaOrson) - Update bouncing_ball.md ReverseDiffAdjoint example (#565) (@Vaibhavdixit02)
- Julia
Published by github-actions[bot] over 4 years ago
DiffEqFlux - v1.37.0
DiffEqFlux v1.37.0
Closed issues: - Probably user error: sciMLtrain func running but not optimizing (#528) - StackOverflow Error when Backproping through SteadyStateProblem (#531) - DiffEqFlux.scimltrain fails with saveidxs keyword (#534) - Regarding Neural ODE Documentation (#538) - Speed and innacuracy of scimltrain with BFGS() on previously demonstrated code (#539) - FFJORD for flexible batched data (#540) - MethodError in sequential learning problem (#543) - Discrete Callback causes Error: immutable struct of type FakeIntegrator cannot be changed (#550) - No method matching similar(::Tuple{...}, ::Int64) (#552) - Mass matrix example requires mass to always equal 1 (#553) - False gradient for FastDense when bias=false (#556)
Merged pull requests: - fix typo (#530) (@spin0r) - Convolutional Neural ODE for MNIST Classification Demo (#532) (@avik-pal) - Fix typos in docs (#533) (@adrhill) - Fix & simplify multiple shooting (#522) (#535) (@adrhill) - Update copy paste example without NeuralODE constructor (#541) (@Vaibhavdixit02) - Generalize continuity loss in multiple shooting (#542) (@adrhill) - Fix grammar (#545) (@namangup) - Add solver kwargs to multiple shooting (#546) (@adrhill) - CompatHelper: bump compat for "Distributions" to "0.25" (#547) (@github-actions[bot]) - Add FAQ on divergent trajectories (#548) (@ChrisRackauckas) - Update divergence.md (#549) (@Vaibhavdixit02) - Fix and test no bias adjoint (#558) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 5 years ago
DiffEqFlux - v1.36.0
DiffEqFlux v1.36.0
Closed issues: - Discretize-Optimize vs Optimize-Discretize (#463) - error in precompiling DiffEqFlux v1.35.0 (#518) - How to treat parameters in a model data struture? (#520)
Merged pull requests: - Optimize the Neural SDE Demo (#519) (@avik-pal) - Use other solvers than Tsit5 in multiple_shoot (#521) (@adrhill) - Adapt is good now? (#525) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 5 years ago
DiffEqFlux - v1.35.0
DiffEqFlux v1.35.0
Closed issues: - Update Neural SDE documentation (#402) - Neural DAE tests not included in runtests and outdated (#425) - Do Multiple Shooting (#481) - FastDense error on GPU (#501) - Make docs nicer (#504) - ODE-LSTMs (#508) - Is there any difference in neuralODE and ODENet? (#510) - Error with non-in-place vector ODEs (#512) - sciml_train summary is gone? (#513) - Error in the Copy-Paste Code for Optimization of Ordinary Differential Equations (#517)
Merged pull requests: - Updated sciml_train information. (#500) (@mkg33) - Do not free memory you do not own. (#503) (@aussetg) - Do multiple shooting (#505) (@Manas2030) - Update Flux.md (#506) (@yewalenikhil65) - Restructure documentation (#507) (@ChrisRackauckas) - CompatHelper: bump compat for "Flux" to "0.12" (#514) (@github-actions[bot]) - fix typo (#515) (@ArnoStrouwen) - Disable graph stuff to get tests running again (#516) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 5 years ago
DiffEqFlux - v1.34.1
DiffEqFlux v1.34.1
Closed issues: - NeuralODE problem with component arrays not working (#497) - MethodError: no method matching length(::Nothing) (#498)
Merged pull requests: - Update index.md (#496) (@pitmonticone) - fix bounds translation (#499) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 5 years ago
DiffEqFlux - v1.34.0
DiffEqFlux v1.34.0
Merged pull requests: - Controlling an SDE (#491) (@frankschae) - Fix StaticDense docstring (#493) (@ArnoStrouwen) - GO 1 (#495) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] about 5 years ago
DiffEqFlux - v1.33.0
DiffEqFlux v1.33.0
Closed issues: - FastChain-Compatible Layers without bias term (#480) - FastChain is not GPU compatible anymore. (#487) - TensorLayer update (#488)
Merged pull requests: - Fix TensorLayer initialization (#489) (@ChrisRackauckas) - updated minibatch example to use Flux call (#490) (@khannay)
- Julia
Published by github-actions[bot] about 5 years ago
DiffEqFlux - v1.32.0
DiffEqFlux v1.32.0
Merged pull requests: - FastChain-Compatible Layers without bias term (#482) (@Aman027) - Disable coverage statistics (#484) (@ChrisRackauckas) - Fix GPU CI (#485) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] about 5 years ago
DiffEqFlux - v1.31.1
DiffEqFlux v1.31.1
Merged pull requests: - Update local_minima.md (#479) (@Manas2030)
- Julia
Published by github-actions[bot] about 5 years ago
DiffEqFlux - v1.31.0
DiffEqFlux v1.31.0
Merged pull requests: - [WIP] Extend collocation methods to use DataInterpolations.jl (#380) (@avik-pal) - Add buildkite pipeline (#474) (@ChrisRackauckas) - Update pipeline.yml (#475) (@ChrisRackauckas) - CompatHelper: add new compat entry for "DiffResults" at version "1.0" (#476) (@github-actions[bot])
- Julia
Published by github-actions[bot] about 5 years ago
DiffEqFlux - v1.30.0
DiffEqFlux v1.30.0
Closed issues:
- StackOverFlowError in DiffEqFlux tutorial of constraints via Universal DAE (#468)
- Typo in FastChain.md (#470)
- Using Flux Chain neural networks with Flux.train! not working (#472)
Merged pull requests: - Add neuralstiffode_sciml docs (#469) (@YingboMa) - CompatHelper: bump compat for "Adapt" to "3.0" (#473) (@github-actions[bot])
- Julia
Published by github-actions[bot] about 5 years ago
DiffEqFlux - v1.29.0
DiffEqFlux v1.29.0
Closed issues:
- NeuralODE{TensorLayer} has no parameters (#411)
Merged pull requests: - Non-MM ndae updates (#426) (@ChrisRackauckas) - special view form for GPUs (#451) (@ChrisRackauckas) - add another hybrid example (#466) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] about 5 years ago
DiffEqFlux - v1.28.0
DiffEqFlux v1.28.0
Closed issues: - Using EnsembleDistributed() with Sciml_train? (#452) - ERROR: LoadError: InitError: Could not find a suitable CUDA installation (#453) - Multiple neural networks tutorial (#459)
Merged pull requests: - Create tutorial for Bayesian Neural ODE: NUTS. (#455) (@RajDandekar) - add distributed test (#456) (@ChrisRackauckas) - Restructure the documentation to have a bunch of subheaders (#457) (@ChrisRackauckas) - Create follow up tutorial for Bayesian Neural ODE: SGLD. (#458) (@RajDandekar) - Fix plot image links in bayesian neural ode examples (#460) (@Vaibhavdixit02) - add multiple nn tutorial (#464) (@ChrisRackauckas) - add parallelism tutorial (#465) (@ChrisRackauckas) - CompatHelper: bump compat for "Zygote" to "0.6" (#467) (@github-actions[bot])
- Julia
Published by github-actions[bot] about 5 years ago
DiffEqFlux - v1.27.0
DiffEqFlux v1.27.0
Merged pull requests: - leanify the dependencies (#454) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] about 5 years ago
DiffEqFlux - v1.26.0
DiffEqFlux v1.26.0
Merged pull requests: - CompatHelper: bump compat for "StaticArrays" to "1.0" (#449) (@github-actions[bot]) - MassInstallAction: Install the GitHubActionsCI workflow on this repository (#450) (@christopher-dG)
- Julia
Published by github-actions[bot] about 5 years ago
DiffEqFlux - v1.25.0
DiffEqFlux v1.25.0
Closed issues: - How to calculate loss in a given time budget? (#434) - dt <= dtmin Aborting. There is either an error in your model specification or the true solution. (#435) - DiffEqFlux Failed to Train with Error "type BinaryHeap has no filed comparer" (#441)
Merged pull requests: - Add warning to scimltrain, add a dispatch of scimltrain to GalacticOptim and rename layer_sciml test file to galacticoptim (#424) (@Vaibhavdixit02) - Another strategy to avoid local minima (#431) (@ghost) - MassInstallAction: Install the TagBot workflow on this repository (#442) (@christopher-dG) - add an example with exogenous input (#444) (@ChrisRackauckas) - ready a release and see test results (#447) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] about 5 years ago
DiffEqFlux - v1.24.0
DiffEqFlux v1.24.0
Closed issues: - Training of UDEs with recurrent networks (#391) - Question regarding solution type (#418) - NEURAL ODE example with GPU not working (#419)
Merged pull requests: - Work around missing matmul dispatch in CUDA.jl (#420) (@ChrisRackauckas) - Add GalacticOptim and update tests to use it (#421) (@Vaibhavdixit02) - CompatHelper: add new compat entry for "GalacticOptim" at version "0.2" (#423) (@github-actions[bot]) - update GalacticOptim calls (#428) (@ChrisRackauckas) - CompatHelper: bump compat for "Distributions" to "0.24" (#430) (@github-actions[bot])
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.23.0
DiffEqFlux v1.23.0
Closed issues: - FFJORD for batched data (#342) - derivative definition of ude (#360) - Optimizing over a neural network and a (time-independent) coefficient simultaneously (#409) - CNF layers very slow with moderately sized Neural Networks (#413)
Merged pull requests: - MNIST example DataLoader syntax bugfix (#369) (@mbeltagy) - Update collocation.jl (#406) (@ChrisRackauckas) - Update TagBot.yml (#410) (@kanav99) - Batched Implementation for FFJORD (#415) (@avik-pal) - work around trace for neldermead (#416) (@ChrisRackauckas) - Reduce allocations in collocation (#417) (@baggepinnen)
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.22.0
DiffEqFlux v1.22.0
Closed issues: - DDE Example leads to " StackOverflowError:" (#396) - Differentiating with ReverseDiff fails on complex (#397) - Fail to compile (Julia 1.5.1) (#399) - sciml_train with Universal ODE fails on GPU (#400)
Merged pull requests: - add hybrid example (#395) (@ChrisRackauckas) - Splat the MNIST Data for proper batching (#398) (@avik-pal) - Setup GPU tests to use CUDA (#404) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.21.0
DiffEqFlux v1.21.0
Closed issues: - Direct access of DESolution fields during Zygote differentiation (#321) - EnsembleGPUArray() fails (#381) - example notebook not working (#388) - Handling sol.u interface (#389) - KernelError: passing and using non-bitstype argument (#390)
Merged pull requests: - CompatHelper: add new compat entry for "LoggingExtras" at version "0.4" (#392) (@github-actions[bot]) - CompatHelper: add new compat entry for "ConsoleProgressMonitor" at version "0.1" (#393) (@github-actions[bot]) - CompatHelper: add new compat entry for "TerminalLoggers" at version "0.1" (#394) (@github-actions[bot])
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.19.0
DiffEqFlux v1.19.0
Closed issues: - HamiltonianProblem not supported (#53) - Hamiltonian Graph Networks with ODE Integrators (#80) - torchdiffeq comparison (#322) - Hamiltonian Neural Networks (#357) - Error on the "Optimization of Ordinary Differential Equations" Tutorial (#376) - ERROR: MethodError: no method matching -(::NTuple{29,Float64}) (#383)
Merged pull requests: - Add support for Hamiltonian Neural Networks (#370) (@avik-pal) - Regularized ffjord WIP (@d-netto) - docs (#382) (@d-netto) - additional fixes in cnf documentation (#384) (@d-netto)
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.18.0
DiffEqFlux v1.18.0
Closed issues:
- Flesh out documentation (#244)
- Multiple ODE solves from a single time series on GPU (#279)
- Zygote.gradient doesn't work with basic solve example (#344)
- Is it possible to learn neuralode for stiff problem of Robertson's problem? (#367)
- More pictures (#375)
Merged pull requests: - spline: more tests (#345) (@d-netto) - Spline docs (#348) (@d-netto) - Finish GDE PR (#355) (@ChrisRackauckas) - Use travis_wait (#356) (@christopher-dG) - add smoothed collocation fitting (#359) (@ChrisRackauckas) - change in ffjord tests (#361) (@d-netto) - Update ffjord.jl (#363) (@nirmal-suthar) - revised minibatch docs (#365) (@collinwarner) - CompatHelper: add new compat entry for "MLDataUtils" at version "0.5" (#366) (@github-actions[bot]) - Require Zygote 0.5 (#373) (@ChrisRackauckas) - test the fixed ensemble parallelism (#374) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.17.0
DiffEqFlux v1.17.0
Closed issues: - One dimensional universal approximators and tensor product basis (#173) - ANODEV2 (#289) - Neural ODE trains but throws an error when trying to show the result from Optim (#327) - Augmented neural ODE on GPU errors out (#329) - Compilation fails (#334) - Neural Stochastic DiffEq example no longer working (#336) - Neural DAE tutorial code not working (#337)
Merged pull requests: - typos in documentation (#326) (@d-netto) - CompatHelper: bump compat for "Optim" to "0.22" (#330) (@github-actions[bot]) - Tutorial (#331) (@d-netto) - fix output statuses (#332) (@ChrisRackauckas) - ANODE Example on GPU (#333) (@avik-pal) - changes in tensor layer (#338) (@d-netto) - Spline layer WIP (@d-netto) - restructure layer docs (#341) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.16.0
DiffEqFlux v1.16.0
Closed issues: - Augmented neural ODEs (#288)
Merged pull requests: - Augmented Neural DE (#316) (@avik-pal) - add text to pde_constrained.md (#324) (@JeremyFongSP) - Tensor Layer: documentation and optimization (#325) (@d-netto)
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.15.0
DiffEqFlux v1.15.0
Closed issues: - Support for complex matrix ODEs (#74)
Merged pull requests: - Tensor prod layer WIP (@d-netto) - update requires for CUDA.jl (#323) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.14.0
DiffEqFlux v1.14.0
Closed issues: - Supervised NNODE Example Broken? (#318)
Merged pull requests: - Use Float32s in ComponentArray example (#315) (@jonniedie) - rename docs/src/examples markdown files (#317) (@JeremyFongSP) - CompatHelper: bump compat for "Zygote" to "0.5" (#319) (@github-actions[bot]) - [WIP] Add pde constrained example (#320) (@JeremyFongSP)
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.13.0
DiffEqFlux v1.13.0
Closed issues: - Continuous normalizing flows (#46) - FFJORD (#47) - Correct way to index into parameter vector? (#281) - Library-tized FFJORD (#282) - Use sciml_train for multiple initial conditions (#306)
Merged pull requests: - Use JuliaGPU's GitLab CI setup (#284) (@christopher-dG) - Correct toml/FFJORD (#291) (@d-netto) - Some cleanup after FFJORD PR (#295) (@ChrisRackauckas) - CompatHelper: add new compat entry for "Distributions" at version "0.23" (#296) (@github-actions[bot]) - CompatHelper: add new compat entry for "Zygote" at version "0.4" (#297) (@github-actions[bot]) - CompatHelper: bump compat for "Adapt" to "2.0" (#299) (@github-actions[bot]) - FFJORD for multivariate distributions (#302) (@d-netto) - Update Neural ODE MNIST Example (#303) (@avik-pal) - Added example with ComponentArrays (#304) (@jonniedie) - FFJORD: docstrings and small change in loss function for multivariate gaussian test (#305) (@d-netto) - Documentation (#307) (@d-netto) - FFJORD: tutorial (#308) (@d-netto) - Remove using OrdinaryDiffEq (#309) (@ChrisRackauckas) - more FFJORD cleanup (#310) (@ChrisRackauckas) - Fix in documentation/tutorial (#311) (@d-netto) - Update ffjord.jl docstring typo (#314) (@Vaibhavdixit02)
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.12.1
DiffEqFlux v1.12.1
Closed issues: - Implicit differential equation solver with internal autodiff of the Jacobian (#31) - BSplines to approximate gradient of data (#75) - Neural optimal control documentation (#174) - README Stable docs links broken (#251) - Indexing solution in loss function gives zero gradient with default sensealg (#259) - RadauAII5 and typeassert issues in autodiff (#271) - Error in LV-Univ example (#275)
Merged pull requests: - add analytical tgrad for mass matrix methods (#224) (@ChrisRackauckas) - Add mini batch docs (#267) (@collinwarner) - add nested AD stiff tests and update docs (#274) (@ChrisRackauckas) - Update docs (#277) (@mkg33) - Update LICENSE (#280) (@ViralBShah) - Add Documentation for LV-NN-Stiff.md (#285) (@JeremyFongSP) - Fix for RecursiveArrayTools broadcast fix (#286) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.12.0
DiffEqFlux v1.12.0
Merged pull requests: - Remove concrete_solve (#273) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.11.0
DiffEqFlux v1.11.0
Closed issues: - Using reverse-mode autodiff with a second order ODE problem (#48) - [Bug Report] Rosenbrock23 gives no method matching finitedifferencejacobian (#257) - NewtonSecondOrderAdjoints code in document not working (#258) - LV-Univ example code doesn't match intro text (#262) - reconstruct_Foo instead of reconstruct NeuralODE (#264)
Merged pull requests:
- Second Order Neural ODEs (#254) (@ChrisRackauckas)
- [WIP] Add Documentation to MNIST example (#256) (@JeremyFongSP)
- Docs fix: remove parameter p from call of predict_rd (#260) (@metanoid)
- Update LV-delay.md to include training step (#261) (@metanoid)
- Delete nfe variable in code (#263) (@JeremyFongSP)
- Remove unused functor definitions (#265) (@ChrisRackauckas)
- Update layers.jl (#269) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] over 5 years ago
DiffEqFlux - v1.10.3
DiffEqFlux v1.10.3
Merged pull requests: - Doc typi (#247) (@jlperla) - missing global in docs example (#248) (@dehann) - fuse 2: refused (#252) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 6 years ago
DiffEqFlux - v1.10.2
DiffEqFlux v1.10.2
Closed issues: - FastChain adjoint definition is not compatible with acting on a matrix (#192) - Outer vs Inner constructors style (#230) - Google season of Docs (#237) - FYI only - Interesting paper on "Differentiation of Blackbox Combinatorial Solvers" (#239) - Neural ODE example with GPU does not work (#243)
Merged pull requests: - make all inner constructors for consistency (#245) (@ChrisRackauckas) - Fix adjoints with matrices and default neural ODEs to ZygoteVJP (#246) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 6 years ago
DiffEqFlux - v1.10.1
DiffEqFlux v1.10.1
Merged pull requests: - fix default adjoints for GPU (#240) (@ChrisRackauckas) - Add GPU-based MNIST example to the docs (#242) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 6 years ago
DiffEqFlux - v1.10.0
DiffEqFlux v1.10.0
Closed issues: - Gradients w.r.t. scalar indexing of a DiffEqArray (#160) - Store and return the current best loss from sciml_train on Flux.jl optimizers (#170) - Broadcasting problem in Zygote.gradient with FastChain() (#171) - Issue with batch training of NeuralODE with signals as inputs (#225) - Docstrings and documentation for fast layers (#231)
Merged pull requests: - Utilize view strided fixes (#152) (@ChrisRackauckas) - CompatHelper: bump compat for "Optim" to "0.21" (#222) (@github-actions[bot]) - Documenter (#228) (@Emmanuel-R8) - gigantic doc update (#232) (@ChrisRackauckas) - Deploy Docs (#233) (@kanav99) - Add MLSL global optimization (#234) (@AStupidBear) - Gigantic documentation update 2 (#235) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 6 years ago
DiffEqFlux - v1.9.0
DiffEqFlux v1.9.0
Closed issues: - BBO breaks (#199) - Force stopping BBO from callback fails (#205)
Merged pull requests: - Add callback kwarg to BlackBoxOptim dispatch (#201) (@abhigupta768) - See what the tests say (#213) (@ChrisRackauckas) - Add TikTak global optimization to sciml_train (#217) (@ranjanan) - Move TikTak to requires.jl (#219) (@ranjanan) - Add QuadDIRECT global optimizer (#220) (@ranjanan) - analytical tgrad for neural ODEs (#223) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 6 years ago
DiffEqFlux - v1.8.1
DiffEqFlux v1.8.1
Merged pull requests:
- Failed when loss function returned more than one value to pass to cb (#203) (@ChrisDeGrendele)
- Adding kwarg for Optim options (#208) (@YingboMa)
- Julia
Published by github-actions[bot] almost 6 years ago
DiffEqFlux - v1.8.0
DiffEqFlux v1.8.0
Closed issues: - Theoretical underpinning (#193) - Solving Forward Backward SDE (#197) - FastChain in loss (#198)
Merged pull requests: - improve logging of scimltrain (#194) (@AStupidBear) - Save best solution rather than last one in scimltrain (#195) (@ChrisDeGrendele) - Add BlackBoxOptim dispatch to sciml_train (#196) (@abhigupta768)
- Julia
Published by github-actions[bot] almost 6 years ago
DiffEqFlux - v1.7.1
DiffEqFlux v1.7.1
Closed issues:
- Setup progress bar of scimltrain to be platform agnostic (#158)
- scimltrain fails on GPU (#182)
- sciml_train error when using NewtonTrustRegion optimizer (#185)
- Neural SDE does not train diffusion parameters (#189)
Merged pull requests: - Provide default progress loggers and use new ProgressLogging API (#184) (@devmotion) - Test DiffEqBase promotion (#188) (@ChrisRackauckas) - fix and better test neural SDE on FastChain (#191) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 6 years ago
DiffEqFlux - v1.7.0
DiffEqFlux v1.7.0
Closed issues: - Singular mass matrices not compatible with hardcoded adjoints (#34) - StackOverflowError on a simple example (#149) - Setup progress bar of sciml_train to be platform agnostic (#158)
Merged pull requests: - Add progress bar to sciml_train, fixes #158 (#180) (@abhigupta768) - support second order (#181) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 6 years ago
DiffEqFlux - v1.6.0
DiffEqFlux v1.6.0
Closed issues: - Setup NLopt optimizers with sciml_train (#161)
Merged pull requests: - Setup NLopt optimizers with sciml_train (#177) (@abhigupta768)
- Julia
Published by github-actions[bot] almost 6 years ago
DiffEqFlux - v1.5.0
DiffEqFlux v1.5.0
Merged pull requests: - Alternative training AD modes (#176) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 6 years ago
DiffEqFlux - v1.4.0
DiffEqFlux v1.4.0
Closed issues: - Implementing Neural DAE's (#124) - scimltrain: unexpected: call back args out of sync with loss() return values (#166) - concretesolve not defined (#168) - sciml_train NeuralODE has zygote error, when processing 2D arrays of batch data (#169)
Merged pull requests: - [WIP] Add neural DAE support (#159) (@abhigupta768) - Fix loss in callback to be computed before updating parameters (#172) (@ChrisRackauckas) - Allow ForwardDiff inside of sciml_train calls (#175) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] almost 6 years ago
DiffEqFlux - v1.3.2
DiffEqFlux v1.3.2
Closed issues:
- Feed known DE in neural DE (#122)
- Using loss as a function of data with sciml_train (#144)
- Some animations (#146)
- Box Constrained Optimization with scimltrain (#148)
- solve and concretesolve crash when called through scimltrain (#153)
- ODElayer (#155)
- FastDense is not found (#156)
- Documentation of sciml_train does not match actual arg prototype (#162)
Merged pull requests: - Install TagBot as a GitHub Action (#145) (@JuliaTagBot) - Add table of contents to README (#147) (@ali-ramadhan) - [WIP] Add box constrained optimization dispatch in scimltrain (#151) (@abhigupta768) - CompatHelper: bump compat for "Juno" to "0.8" (#157) (@github-actions[bot]) - Add an optional data argument and fix docstring (#163) (@ChrisRackauckas) - Fix data splat in Flux optimizer version of scimltrain (#165) (@ChrisRackauckas)
- Julia
Published by github-actions[bot] about 6 years ago
DiffEqFlux - v1.3.1
v1.3.1 (2020-02-07)
Closed issues:
- No method matching
finite\_difference\_jacobian(#142) - modify parameters in-place in sciml_train! (#140)
- Fix StaticDense (#134)
- Expose more controls in sciml_train! (#132)
Merged pull requests:
- Remove UnsafeArrays (#143) (YingboMa)
- fast adjoints for fast layers (#141) (ChrisRackauckas)
- fix a bunch of GPU tests (#137) (ChrisRackauckas)
- Julia
Published by julia-tagbot[bot] about 6 years ago
DiffEqFlux - v1.3.0
v1.3.0 (2020-02-06)
Closed issues:
- TrackerAdjoint on GPUs (#135)
Merged pull requests:
- stopping criterion on current loss (#139) (ric-cioffi)
- Julia
Published by julia-tagbot[bot] about 6 years ago
DiffEqFlux - v1.2.2
v1.2.2 (2020-02-04)
Merged pull requests:
- add some abstract types (#136) (ChrisRackauckas)
- Julia
Published by julia-tagbot[bot] about 6 years ago
DiffEqFlux - v1.2.0
v1.2.0 (2020-02-02)
Closed issues:
- NeuralODE not training with DiffEqFlux v1.1.1 (#127)
- Better SciML Training Loop (#120)
- DiffEqFlux could handle infinite loss better. (#70)
Merged pull requests:
- CompatHelper: add new compat entry for "UnsafeArrays" at version "1.0" (#131) (github-actions[bot])
- CompatHelper: add new compat entry for "StaticArrays" at version "0.12" (#130) (github-actions[bot])
- CompatHelper: add new compat entry for "Optim" at version "0.20" (#129) (github-actions[bot])
- CompatHelper: add new compat entry for "Juno" at version "0.7" (#128) (github-actions[bot])
- implement fast versions of Flux (#126) (ChrisRackauckas)
- Introduce sciml_train (#125) (ChrisRackauckas)
- Julia
Published by julia-tagbot[bot] about 6 years ago
DiffEqFlux - v1.1.1
v1.1.1 (2020-01-24)
Closed issues:
- Suggestion: Passing Args to Callback in Flux.train!, and return args from Loss() (#116)
Merged pull requests:
- patch Zygote GPU support (#117) (ChrisRackauckas)
- Julia
Published by julia-tagbot[bot] about 6 years ago
DiffEqFlux - v1.1.0
v1.1.0 (2020-01-20)
Closed issues:
- Neural SDE example has convergence and plotting issue (#114)
- Tests sometimes fail (#112)
- LoadError: UndefVarError: Tracker not defined (#110)
- Stack Overflow error (#88)
- DiffEqFlux 0.6.0, 0.5.0 and 0.5.1 do not compile on julia 1.0 (#81)
Merged pull requests:
- NeuralDSDE, NeuralSDE, and NeuralCDDE (#115) (ChrisRackauckas)
- Julia
Published by julia-tagbot[bot] about 6 years ago
DiffEqFlux - v1.0.0
v1.0.0 (2020-01-13)
Closed issues:
- Long integrations fail with Zygote even with hardcoded adjoint (#108)
- Cannot provide higher level functions with neural networks with Zygote: Neural ODE restructure dimension mismatch (#107)
- Long integrations fail with Zygote even with hardcoded adjoint (#105)
- Zygote GPU (#104)
- Training a neural_ode with Flux is VERY slow on the GPU. (#102)
- Remaining Zygote issues (#101)
- DiffEqFlux v0.4.0 will not pre-compile with Flux 0.10.0 in Julia 1.3 (#99)
- Zygote compatibility for new Flux update (#79)
Merged pull requests:
- Neural DE struct layers (#109) (ChrisRackauckas)
- Neural ODE via restructure/destructure (#103) (ChrisRackauckas)
- [WIP] Refactoring destructure (#97) (dhairyagandhi96)
- Zygote Compatibility (#96) (ChrisRackauckas)
- Julia
Published by julia-tagbot[bot] about 6 years ago
DiffEqFlux - v0.10.1
v0.10.1 (2019-12-28)
Merged pull requests:
- don't default to backsolve (#98) (ChrisRackauckas)
- Julia
Published by julia-tagbot[bot] about 6 years ago
DiffEqFlux - v0.10.0
v0.10.0 (2019-12-14)
Merged pull requests:
- CompatHelper: bump compat for "Requires" to "1.0" (#95) (github-actions[bot])
- Julia
Published by julia-tagbot[bot] about 6 years ago
DiffEqFlux - v0.9.0
v0.9.0 (2019-12-10)
Merged pull requests:
- Update DiffEqSensitivity bound (#94) (ChrisRackauckas)
- CompatHelper: bump compat for "DiffResults" to "1.0" (#92) (github-actions[bot])
- Julia
Published by julia-tagbot[bot] about 6 years ago
DiffEqFlux - v0.8.1
v0.8.1 (2019-11-30)
Closed issues:
- Preprocessing Layer in Neural ODE causes Error (maybe Tracker related). (#90)
- Compilation problem (#89)
Merged pull requests:
- Added separate Callbacks for the forward and adjoint solves (#84) (PiotrSokol)
- Julia
Published by julia-tagbot[bot] about 6 years ago
DiffEqFlux - v0.8.0
v0.8.0 (2019-11-18)
Closed issues:
- Forward solve fails with LinearAlgebra.Adjoint initial values (#85)
Merged pull requests:
- Remove plotting from tests (#87) (ChrisRackauckas)
- Julia
Published by julia-tagbot[bot] over 6 years ago
DiffEqFlux - v0.7.0
v0.7.0 (2019-10-20)
Closed issues:
- MethodError: no method matching Float64(::Tracker.TrackedReal{Float64}) when using Array instead of Vector as parameters (#82)
- ERROR: LoadError: MethodError: objects of type Tracker.Params are not callable - partial_neural.jl (#77)
- pictures (#67)
- Derivative w.r.t initial conditions with saveat for end point (#25)
- Scalar saveat with neural ODE has a type issue (#12)
Merged pull requests:
- allow arbitrary parameter sizing (#83) (ChrisRackauckas)
- fixed typo in Mixed Neural DEs and minor editing (#78) (scheidan)
- Replace Flux with Tracker (#76) (ChrisRackauckas)
- Update README.md (#72) (ndalton12)
- Fix neural DDE in README (#71) (devmotion)
- add GDP regression test (#69) (ChrisRackauckas)
- Julia
Published by julia-tagbot[bot] over 6 years ago
DiffEqFlux - v0.6.1
v0.6.1 (2019-07-21)
Merged pull requests:
- make save_end=true by default in adjoint (#68) (ChrisRackauckas)
- Julia
Published by julia-tagbot[bot] over 6 years ago
DiffEqFlux - v0.6.0
v0.6.0 (2019-07-20)
Closed issues:
- neural_ode solve leaves gpu (#65)
- save_start=false argument ignored for neural_ode solve (#64)
- Error when running example on README (#63)
- Register (#62)
- GPU + Adjoint u0 (#61)
Merged pull requests:
- Respect users' saving option (#66) (YingboMa)
- Julia
Published by julia-tagbot[bot] over 6 years ago
DiffEqFlux - v0.5.2
v0.5.2 (2019-07-17)
Closed issues:
- "MethodError: no method matching gemm!" error when using Rosenbrock23 with diffeq_rd. (#55)
Merged pull requests:
- add gpu tests (#60) (ChrisRackauckas)
- Minor edits to neural ode example in Readme (#59) (Vaibhavdixit02)
- greatly improve tests (#58) (ChrisRackauckas)
- Julia
Published by julia-tagbot[bot] over 6 years ago