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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
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
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
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
1,938 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
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
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
3,478 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
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
554 commits to main branch, last one 3 days 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
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
Neural Graph Differential Equations (Neural GDEs)
Created
2019-11-12
21 commits to master branch, last one 3 years ago
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
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
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