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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 about a month ago
A library for scientific machine learning and physics-informed learning
Created
2019-02-08
1,182 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
352 commits to master branch, last one 2 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
5,590 commits to master branch, last one 12 hours ago
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Created
2017-03-14
2,465 commits to master branch, last one 2 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
1,867 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
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
1,882 commits to master branch, last one 2 days 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
7,623 commits to master branch, last one 9 hours 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 3 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
3,924 commits to master branch, last one 10 days ago
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
Created
2019-10-04
1,042 commits to master branch, last one 20 days ago
Surrogate modeling and optimization for scientific machine learning (SciML)
Created
2019-05-08
1,187 commits to master branch, last one 10 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
3,131 commits to master branch, last one 13 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
3,311 commits to master branch, last one 8 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
2,773 commits to master branch, last one 2 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 about a year ago
Arrays with arbitrarily nested named components.
Created
2020-04-10
490 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 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
283 commits to main branch, last one a day ago
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Created
2016-11-01
2,359 commits to master branch, last one 15 hours ago
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Created
2021-05-19
439 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
2,256 commits to master branch, last one 2 months 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
1,409 commits to main branch, last one 13 days 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
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Created
2020-08-30
1,262 commits to master branch, last one 12 days ago
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
Created
2019-08-08
636 commits to master branch, last one 20 days ago
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
Created
2016-10-30
1,123 commits to master branch, last one 12 days ago
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
Created
2013-03-12
1,025 commits to master branch, last one about a month ago