29 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
1,400 commits to master branch, last one 27 days ago
319
1.8k
apache-2.0
17
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Created 2021-02-28
8 commits to main branch, last one 2 years ago
201
1.6k
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 about a year ago
205
1.5k
apache-2.0
19
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Created 2021-01-03
24 commits to main branch, last one 3 years 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 ...
Created 2018-02-27
6,617 commits to master branch, last one 15 hours 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
1,923 commits to master branch, last one 15 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
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
Created 2023-01-27
59 commits to main branch, last one 7 months ago
42
543
mit
20
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Created 2018-04-21
216 commits to master branch, last one a day ago
Generate realizations of stochastic processes in python.
Created 2017-02-17
111 commits to master branch, last one 2 years ago
116
318
other
19
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Created 2016-10-20
3,466 commits to master branch, last one 15 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
10
280
apache-2.0
35
Rectified Flow Inversion (RF-Inversion)
Created 2024-10-12
10 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
2,335 commits to master branch, last one 11 days ago
44
181
mit
9
Example codes for the book Applied Stochastic Differential Equations
Created 2019-04-02
12 commits to master branch, last one 3 years ago
28
170
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
📦 Python library for Stochastic Processes Simulation and Visualisation
Created 2022-09-07
309 commits to main branch, last one 18 hours ago
22
148
unknown
2
Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)
Created 2022-05-02
33 commits to master branch, last one about a year ago
15
143
other
11
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Created 2018-04-19
175 commits to master branch, last one a day 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
800 commits to master branch, last one about a month ago
19
111
other
10
A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
Created 2015-09-15
549 commits to master branch, last one 3 years ago
Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran
Created 2017-01-19
93 commits to master branch, last one 3 years ago
10
93
gpl-3.0
9
Python package to discover stochastic differential equations from time series data
Created 2020-03-30
495 commits to master branch, last one 2 months ago
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
Created 2019-04-27
181 commits to master branch, last one about a year ago
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Created 2016-10-28
751 commits to master branch, last one 15 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
424 commits to master branch, last one about a month ago
Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
Created 2024-01-20
11 commits to main branch, last one 3 months ago
Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
Created 2021-04-13
72 commits to master branch, last one about a year ago