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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 a day ago
A library for scientific machine learning and physics-informed learning
Created
2019-02-08
1,205 commits to master branch, last one 14 hours 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
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
6,439 commits to master branch, last one 20 hours ago
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Created
2017-03-14
2,712 commits to master branch, last one a day 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
1,919 commits to master branch, last one a day ago
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable inte...
Created
2020-05-06
2,095 commits to master branch, last one 2 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
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
9,221 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
202 commits to master branch, last one 27 days 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
4,561 commits to master branch, last one 3 days ago
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
Created
2019-10-04
1,064 commits to master branch, last one about a month ago
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
ai4science
awesome-list
best-of-list
drug-discovery
condensed-matter
surrogate-models
quantum-chemistry
molecular-dynamics
materials-discovery
electronic-structure
scientific-computing
materials-informatics
interatomic-potentials
computational-chemistry
density-functional-theory
atomistic-machine-learning
scientific-machine-learning
computational-materials-science
Created
2023-06-09
392 commits to main branch, last one 12 days ago
Surrogate modeling and optimization for scientific machine learning (SciML)
Created
2019-05-08
1,212 commits to master branch, last one 17 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
3,414 commits to master branch, last one a day 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
3,449 commits to master branch, last one 9 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
3,031 commits to master branch, last one 17 days 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
497 commits to main branch, last one about a month 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 5 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
2,411 commits to master branch, last one 14 days ago
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
This repository has been archived
(exclude archived)
Created
2021-05-19
440 commits to main branch, last one about a month ago
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Created
2016-10-22
2,321 commits to master branch, last one 2 days ago
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
Created
2021-07-02
1,487 commits to main branch, last one 2 days ago
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Created
2020-08-30
1,981 commits to master branch, last one 18 hours ago
A library for Koopman Neural Operator with Pytorch.
Created
2022-12-21
144 commits to main branch, last one about a month ago
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
Created
2019-08-08
643 commits to master branch, last one 2 months ago
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
Created
2019-12-16
159 commits to master branch, last one about a year ago
A style guide for stylish Julia developers
Created
2022-05-17
82 commits to main branch, last one 6 months ago