Updated 9 months ago

stable-baselines3 • Rank 27.9 • Science 75%

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Scientific Software
Updated 9 months ago

Flint — Peer-reviewed • Rank 3.7 • Science 95%

Flint: a simulator for biological and physiological models in ordinary and stochastic differential equations - Published in JOSS (2020)

Scientific Software · Peer-reviewed
Updated 9 months ago

Catalyst • Rank 16.2 • Science 77%

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Updated 9 months ago

ModelingToolkit • Rank 20.2 • Science 64%

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

Updated 9 months ago

SciMLBenchmarks • Rank 11.5 • Science 67%

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

Updated 9 months ago

JumpProcesses • Rank 17.6 • Science 59%

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Updated 9 months ago

SciMLSensitivity • Rank 16.8 • Science 54%

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

Updated 9 months ago

DifferentialEquations • Rank 19.5 • Science 51%

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Updated 9 months ago

DiffEqNoiseProcess • Rank 16.3 • Science 54%

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

Updated 9 months ago

SteadyStateDiffEq • Rank 14.8 • Science 54%

Solvers for steady states in scientific machine learning (SciML)

Updated 9 months ago

DiffEqBayes • Rank 11.2 • Science 54%

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Updated 9 months ago

DiffEqDevTools • Rank 11.1 • Science 54%

Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)

Updated 9 months ago

DiffEqCallbacks • Rank 17.6 • Science 36%

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

Updated 9 months ago

BVProblemLibrary • Rank 11.9 • Science 36%

A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools

Updated 9 months ago

diffeqdocs.jl • Rank 11.1 • Science 36%

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

Updated 9 months ago

BridgeDiffEq • Science 54%

A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)

Updated 9 months ago

pydaddy • Science 67%

Python package to discover stochastic differential equations from time series data

Updated 9 months ago

BoundaryCrossingProbabilities • Science 67%

Computes the boundary crossing probability for a general diffusion process and time-dependent boundary.

Updated 9 months ago

sdevelo • Science 49%

Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo

Updated 9 months ago

manifold-mcmc-for-diffusions • Science 54%

Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'