33 results found Sort:

338
1.9k
unknown
67
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Created 2019-08-29
365 commits to master branch, last one about a month ago
131
1.4k
apache-2.0
28
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 about a year ago
151
915
apache-2.0
33
Closed-form Continuous-time Neural Networks
Created 2021-01-09
30 commits to main branch, last one 2 years 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
1,938 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
121
721
unknown
13
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Created 2019-01-23
25 commits to master branch, last one 11 months 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
3,475 commits to master branch, last one 25 days ago
117
322
other
18
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Created 2016-10-20
3,478 commits to master branch, last one 11 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
3,215 commits to master branch, last one a day ago
48
308
unknown
25
18.S096 - Applications of Scientific Machine Learning
Created 2020-01-05
21 commits to master branch, last one 2 years ago
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Created 2019-06-24
913 commits to master branch, last one 11 days ago
246
284
other
16
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Created 2016-11-01
2,434 commits to master branch, last one 11 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
Code for the paper "Learning Differential Equations that are Easy to Solve"
Created 2020-06-22
75 commits to master branch, last one 3 years ago
A parallel ODE solver for PyTorch
Created 2022-10-22
54 commits to main branch, last one 4 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 2 years ago
32
198
mit
8
Neural Graph Differential Equations (Neural GDEs)
Created 2019-11-12
21 commits to master branch, last one 3 years ago
28
169
mit
8
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
Created 2021-02-04
48 commits to main 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
1,559 commits to master branch, last one 24 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
802 commits to master branch, last one 16 days ago
49
104
other
20
Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
This repository has been archived (exclude archived)
Created 2013-03-01
303 commits to master branch, last one 9 months ago
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Created 2017-01-06
652 commits to master branch, last one 2 months ago
20
83
mit
8
Chemical Reaction Neural Network
Created 2020-12-12
55 commits to main branch, last one 5 months ago
Regularized Neural ODEs (RNODE)
Created 2020-05-19
3 commits to master branch, last one 4 years ago
Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
Created 2023-01-27
12 commits to master branch, last one 8 months ago
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Created 2016-10-20
308 commits to master branch, last one 2 months ago
Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022
Created 2022-03-18
3 commits to main branch, last one 8 months ago
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Created 2016-10-31
424 commits to master branch, last one 3 months ago
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Created 2016-10-28
754 commits to master branch, last one 13 days ago