Scientific Software
Updated 6 months ago
pyABC
pyABC: Efficient and robust easy-to-use approximate Bayesian computation - Published in JOSS (2022)
Scientific Software · Peer-reviewed
Updated 6 months ago
pomp
R package for statistical inference using partially observed Markov processes
abc
b-spline
differential-equations
dynamical-systems
iterated-filtering
likelihood
likelihood-free
markov-chain-monte-carlo
markov-model
mathematical-modelling
measurement-error
particle-filter
r
sequential-monte-carlo
simulation-based-inference
sobol-sequence
state-space
statistical-inference
stochastic-processes
time-series
Updated 5 months ago
https://github.com/brianpugh/autoregistry
Automatic registry design-pattern library for mapping string names to code functionality.
Updated 6 months ago
calisim
A toolbox for the calibration and evaluation of simulation models.
abc
active-learning
approximate-bayesian-computation
bayesian-calibration
bayesian-optimization
bayesian-quadrature
evolutionary-algorithms
experimental-design
history-matching
model-calibration
optimal-experimental-design
optimisation
reliability-analysis
sbi
sensitivity-analysis
simulation-based-inference
surrogate-based-optimization
surrogate-models
uncertainty-analysis
uncertainty-quantification
Updated 6 months ago
drills
DRiLLS: Deep Reinforcement Learning for Logic Synthesis Optimization (ASPDAC'20)
Updated 4 months ago
https://github.com/dmetivie/abcmethods.jl
A Julia package implementing some Bayesian ABC methods
Updated 6 months ago
calisim-examples-workshop-material
Workshop for calisim: A toolbox for the calibration and evaluation of simulation models.