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Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
r
dae
dde
ode
sde
spde
julia
sciml
python
numerical
scientific
dynamical-systems
stochastic-processes
differentialequations
differential-equations
scientific-machine-learning
delay-differential-equations
neural-differential-equations
differential-algebraic-equations
stochastic-differential-equations
Created
2016-05-11
1,400 commits to master branch, last one 15 days ago
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Created
2019-08-29
361 commits to master branch, last one about a month ago
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, ...
Created
2015-02-09
2,777 commits to main branch, last one about a month ago
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Created
2020-07-06
163 commits to master branch, last one about a year ago
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Created
2021-07-25
623 commits to main branch, last one 9 days ago
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 ...
dae
dde
ode
pde
sde
julia
sciml
acausal
symbolic
optimization
equation-based
computer-algebra
symbolic-numerics
symbolic-computation
nonlinear-programming
differential-equations
scientific-machine-learning
delay-differential-equations
ordinary-differential-equations
stochastic-differential-equations
Created
2018-02-27
6,565 commits to master branch, last one 18 hours ago
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Created
2017-03-14
2,721 commits to master branch, last one 2 days ago
Brian is a free, open source simulator for spiking neural networks.
Created
2012-11-27
6,451 commits to master branch, last one 7 days ago
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
pinn
stiff-ode
neural-dde
neural-ode
neural-pde
neural-sde
neural-sdes
scientific-ai
scientific-ml
neural-networks
differentialequations
differential-equations
neural-jump-diffusions
physics-informed-learning
scientific-machine-learning
delay-differential-equations
neural-differential-equations
partial-differential-equations
ordinary-differential-equations
stochastic-differential-equations
Created
2018-12-26
1,923 commits to master branch, last one 3 days ago
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Created
2016-10-31
1,297 commits to master branch, last one about a year ago
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Created
2019-03-28
1,243 commits to master branch, last one 4 months ago
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
Created
2020-05-18
58 commits to master branch, last one 3 years ago
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning ...
Created
2016-10-22
9,315 commits to master branch, last one 22 hours ago
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Created
2018-04-21
212 commits to master branch, last one 20 hours ago
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Created
2017-02-06
4,676 commits to master branch, last one 2 days ago
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Created
2020-05-08
119 commits to master branch, last one about a year ago
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
Created
2019-10-04
1,066 commits to master branch, last one 2 days ago
Physics-Informed Neural networks for Advanced modeling
Created
2021-11-29
314 commits to master branch, last one 2 days ago
V library to develop Artificial Intelligence and High-Performance Scientific Computations
Created
2019-12-03
1,123 commits to main branch, last one 5 days ago
Surrogate modeling and optimization for scientific machine learning (SciML)
Created
2019-05-08
1,214 commits to master branch, last one 3 days ago
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, S...
Created
2016-11-02
3,446 commits to master branch, last one 2 days ago
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Created
2016-10-31
3,084 commits to master branch, last one 22 hours ago
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
dae
dde
ode
pde
sde
sciml
neural-ode
hacktoberfest
differentialequations
differential-equations
scientific-machine-learning
delay-differential-equations
neural-differential-equations
partial-differential-equations
ordinary-differential-equations
differential-algebraic-equations
stochastic-differential-equations
Created
2016-10-20
3,466 commits to master branch, last one 3 days ago
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
Created
2021-06-27
22 commits to main branch, last one 5 months ago
18.S096 - Applications of Scientific Machine Learning
Created
2020-01-05
21 commits to master branch, last one 2 years ago
Arrays with arbitrarily nested named components.
Created
2020-04-10
502 commits to main branch, last one 11 hours ago
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
Created
2019-07-16
179 commits to master branch, last one about a year ago
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Created
2019-06-24
907 commits to master branch, last one 6 months ago
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
This repository has been archived
(exclude archived)
Created
2017-05-16
1,482 commits to master branch, last one about a year ago
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Created
2016-11-01
2,414 commits to master branch, last one 12 days ago