20 results found Sort:

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
Created 2016-05-11
1,384 commits to master branch, last one 26 days ago
192
1.5k
apache-2.0
34
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Created 2020-07-06
163 commits to master branch, last one 8 months ago
123
1.3k
apache-2.0
27
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Created 2020-04-27
620 commits to master branch, last one 5 months ago
116
1.3k
apache-2.0
20
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
194
916
other
37
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
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
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
68
588
apache-2.0
20
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
46
397
apache-2.0
14
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
106
299
other
20
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Created 2016-10-20
3,282 commits to master branch, last one 6 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This repository has been archived (exclude archived)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
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
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)
Created 2017-02-04
1,391 commits to master branch, last one 6 days ago
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
Created 2017-07-24
785 commits to master branch, last one about a month ago
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
Created 2020-08-13
23 commits to master branch, last one 2 years ago
This repository contains code released by DiffEqML Research
Created 2020-07-31
98 commits to master branch, last one 2 years ago
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Created 2016-10-20
299 commits to master branch, last one 26 days ago
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Created 2016-10-31
410 commits to master branch, last one 26 days ago