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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
1,384 commits to master branch, last one 26 days 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
2,774 commits to main branch, last one 17 days ago
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Created
2019-08-29
352 commits to master 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 8 months 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
5,459 commits to master branch, last one 3 days ago
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Created
2021-07-25
597 commits to main branch, last one 10 days ago
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Created
2017-03-14
2,453 commits to master branch, last one 14 days ago
Brian is a free, open source simulator for spiking neural networks.
Created
2012-11-27
6,358 commits to master branch, last one 19 hours 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
1,858 commits to master branch, last one 11 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 9 months 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
1,242 commits to master branch, last one 8 days 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
7,432 commits to master branch, last one a day ago
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Created
2018-04-21
199 commits to master branch, last one 2 months 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
3,584 commits to master branch, last one 6 days ago
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
Created
2019-10-04
1,040 commits to master branch, last one 23 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 10 months ago
V library to develop Artificial Intelligence and High-Performance Scientific Computations
Created
2019-12-03
1,085 commits to main branch, last one 10 days ago
Surrogate modeling and optimization for scientific machine learning (SciML)
Created
2019-05-08
1,185 commits to master branch, last one 26 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
3,115 commits to master branch, last one 3 days ago
18.S096 - Applications of Scientific Machine Learning
Created
2020-01-05
21 commits to master branch, last one 2 years 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
3,282 commits to master branch, last one 6 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
2,611 commits to master branch, last one 14 days 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 11 months ago
Arrays with arbitrarily nested named components.
Created
2020-04-10
490 commits to main branch, last one 11 days 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 11 months ago
Physics-Informed Neural networks for Advanced modeling
Created
2021-11-29
265 commits to master branch, last one 11 days 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 days ago
Code for the paper "Learning Differential Equations that are Easy to Solve"
Created
2020-06-22
75 commits to master branch, last one 2 years ago
scikit-fmm is a Python extension module which implements the fast marching method.
Created
2012-02-06
275 commits to master branch, last one a day ago