Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for deep learning differential equations
deep-learning
x
differential-equations
x
16 search results found
Torchsde
⭐
1,357
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Diffrax
⭐
1,131
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Neuralpde.jl
⭐
864
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Neurodiffeq
⭐
576
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Torchcde
⭐
361
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Neuralcde
⭐
352
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
Pydens
⭐
242
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
Neuraloperators.jl
⭐
206
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Pina
⭐
195
Physics-Informed Neural networks for Advanced modeling
Easy Neural Ode
⭐
186
Code for the paper "Learning Differential Equations that are Easy to Solve"
Kinetic.jl
⭐
110
Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.
Highdimpde.jl
⭐
61
A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
Fasterneuraldiffeq
⭐
52
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
Neurallaplace
⭐
48
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
Gpt Pinn
⭐
22
Generative Pre-Trained Physics-Informed Neural Networks Implementation
Pararealml
⭐
19
A machine learning boosted parallel-in-time differential equation solver framework.
Reverse Mode Automatic Differentiation Cpp
⭐
6
A simple implementation of reverse mode automatic differentiation in C++ without the use of any libraries.
Related Searches
Python Deep Learning (18,613)
Jupyter Notebook Deep Learning (10,328)
Deep Learning Tensorflow (5,868)
Deep Learning Neural Network (5,801)
Deep Learning Pytorch (5,728)
Deep Learning Convolutional Neural Networks (4,142)
Deep Learning Network (3,570)
Deep Learning Computer Vision (3,365)
Deep Learning Keras (3,258)
Deep Learning Artificial Intelligence (2,898)
1-16 of 16 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.