GitHub topics: neural-differential-equations
SciML/BoundaryValueDiffEq.jl
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
Language: Julia - Size: 3.83 MB - Last synced at: about 13 hours ago - Pushed at: about 14 hours ago - Stars: 47 - Forks: 37
patrick-kidger/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Language: Python - Size: 6.7 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1,597 - Forks: 147
SciML/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Language: Julia - Size: 554 MB - Last synced at: 1 day ago - Pushed at: 22 days ago - Stars: 1,067 - Forks: 217
SciML/DiffEqProblemLibrary.jl
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Language: Julia - Size: 754 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 67 - Forks: 34
SciML/DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Language: Julia - Size: 2.84 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 296 - Forks: 33
SciML/SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Language: CSS - Size: 217 MB - Last synced at: 2 days ago - Pushed at: 12 months ago - Stars: 732 - Forks: 126
samholt/NeuralLaplace
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
Language: Python - Size: 16.7 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 76 - Forks: 12
sourav-roni/BCR-DE
Code for "Controlled Differential Equations on Long Sequences via Non-standard Wavelets" paper. ICML23
Language: Python - Size: 13.7 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 2 - Forks: 1
SciML/DiffEqFlux.jl
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
Language: Julia - Size: 181 MB - Last synced at: 1 day ago - Pushed at: 7 days ago - Stars: 889 - Forks: 156
SciML/DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Language: Julia - Size: 3.05 MB - Last synced at: 1 day ago - Pushed at: 16 days ago - Stars: 327 - Forks: 117
SciML/JumpProcesses.jl
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)
Language: Julia - Size: 2.12 GB - Last synced at: 1 day ago - Pushed at: 8 days ago - Stars: 140 - Forks: 37
SciML/DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Language: Julia - Size: 169 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 2,934 - Forks: 237
MartinuzziFrancesco/awesome-scientific-machine-learning
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
Size: 202 KB - Last synced at: about 6 hours ago - Pushed at: over 1 year ago - Stars: 51 - Forks: 10
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: 11 days ago - Pushed at: 12 months ago - Stars: 1,465 - Forks: 132
davudtopalovic/Neural-Differential-Equations
Understanding the idea, intuition and implementation of Neural Differential Equations. Clearly explained and fully commented.
Language: Jupyter Notebook - Size: 66.6 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0
SciML/MultiScaleArrays.jl
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Language: Julia - Size: 1.03 MB - Last synced at: 2 days ago - Pushed at: 5 months ago - Stars: 75 - Forks: 16
SciML/DiffEqBayes.jl
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
Language: Julia - Size: 41.4 MB - Last synced at: 2 days ago - Pushed at: 27 days ago - Stars: 122 - Forks: 29
IDSIA/neuraldiffeq-fwp
Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (NeurIPS 2022)
Language: Python - Size: 140 KB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 4
patrick-kidger/torchcde
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Language: Python - Size: 247 KB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 436 - Forks: 46
patrick-kidger/NeuralCDE
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
Language: Python - Size: 615 KB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 647 - Forks: 70
patrick-kidger/FasterNeuralDiffEq
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
Language: Python - Size: 635 KB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 87 - Forks: 9
DiffEqML/diffeqml-research
This repository contains code released by DiffEqML Research
Language: Jupyter Notebook - Size: 54.8 MB - Last synced at: 11 days ago - Pushed at: about 3 years ago - Stars: 89 - Forks: 9
GalacticDynamics/diffraxtra
Extras for Diffrax: OOP and vectorization
Language: Python - Size: 110 KB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 1
mvinyard/neural-diffeqs
Instantiate neural differential equations with ease
Language: Python - Size: 638 KB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
SciML/DiffEqOperators.jl 📦
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Language: Julia - Size: 3.33 MB - Last synced at: 2 days ago - Pushed at: almost 2 years ago - Stars: 282 - Forks: 73
Joaquin-Gajardo/NeuralCDEcrops
Repository for my master thesis at EPFL: "Neural controlled differential equations for crop classification"
Language: Python - Size: 2.34 MB - Last synced at: 4 days ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 1
jacobjinkelly/easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
Language: Python - Size: 25.9 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 270 - Forks: 31
i-m-iron-man/NDE_Foraging
A dynamical systems approach to adaptive patch foraging by using Neural Differential Equations.
Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Language: Python - Size: 4.17 MB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 1,573 - Forks: 199
Brody-Lab/findr
FINDR: Flow-field Inference from Neural Data using deep Recurrent networks
Language: Jupyter Notebook - Size: 177 KB - Last synced at: 20 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
SciML/SciMLTutorialsOutput
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Language: HTML - Size: 72.6 MB - Last synced at: 2 days ago - Pushed at: about 1 year ago - Stars: 20 - Forks: 4
AlexKenna/Physics-Informed-Machine-Learning
An exploration of different Physics Informed Machine Learning topics
Language: Jupyter Notebook - Size: 16.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
YannisZa/GeNSIT
Generating Neural Spatial Interaction Tables
Language: Python - Size: 10.3 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
msabvid/SigFiltering
Sampling from the solution of the Zakai equation, using the Signature and Conditional Wasserstein GANs
Language: Python - Size: 208 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
Song921012/MathEpiDeepLearningTutorial
Tutorials on math epidemiology and epidemiology informed deep learning methods
Language: Julia - Size: 57.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1
zbliu98/GRAM-ODE
Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"
Language: Python - Size: 123 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1
Beramos/Workshop-NeuralODE-2020
A 30-minute showcase on the how and the why of neural differential equations.
Language: Jupyter Notebook - Size: 2.17 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 4
timkimd/plnde
Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"
Language: Julia - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 0
timkimd/RNNTools.jl
A Julia package for training recurrent neural networks (RNNs), vanilla neural ordinary differential equations (nODEs) and gated neural ordinary differential equations (gnODEs).
Language: Julia - Size: 42 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Song921012/EstimatingRtDeepL
Codes for paper "Estimating time-varying reproduction number by deep learning techniques"
Language: Julia - Size: 602 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
JuliaEpi/MathEpiDeepLearning
Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.
Language: JavaScript - Size: 3.19 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 6
juliusberner/neural_ode_julia
Using DiffEqFlux to learn underlying differential equations from data.
Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1
