Projects in Awesome Lists tagged with neural-ode

https://github.com/sciml/scimlbook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

differential-equations gpu-computing lecture-notes neural-networks neural-ode neural-sde numerical-methods parallelism performance-engineering scientific-machine-learning scientific-simulators sciml stiff-equations

Last synced: 15 Oct 2025

https://github.com/SciML/SciMLBook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

differential-equations gpu-computing lecture-notes neural-networks neural-ode neural-sde numerical-methods parallelism performance-engineering scientific-machine-learning scientific-simulators sciml stiff-equations

Last synced: 04 May 2025

https://github.com/diffeqml/torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

control-theory deep-equilibrium-models deep-learning dynamical-systems implicit-models neural-differential-equations neural-network neural-ode numerical-methods pytorch

Last synced: 15 May 2025

https://github.com/DiffEqML/torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

control-theory deep-equilibrium-models deep-learning dynamical-systems implicit-models neural-differential-equations neural-network neural-ode numerical-methods pytorch

Last synced: 27 Mar 2025

https://github.com/raminmh/cfc

Closed-form Continuous-time Neural Networks

deep-learning neural-ode pytorch recurrent-neural-networks sequence-models tensorflow

Last synced: 16 May 2025

https://github.com/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

delay-differential-equations differential-equations differentialequations neural-dde neural-differential-equations neural-jump-diffusions neural-networks neural-ode neural-pde neural-sde neural-sdes ordinary-differential-equations partial-differential-equations physics-informed-learning pinn scientific-ai scientific-machine-learning scientific-ml stiff-ode stochastic-differential-equations

Last synced: 11 Oct 2025

https://github.com/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

delay-differential-equations differential-equations differentialequations neural-dde neural-differential-equations neural-jump-diffusions neural-networks neural-ode neural-pde neural-sde neural-sdes ordinary-differential-equations partial-differential-equations physics-informed-learning pinn scientific-ai scientific-machine-learning scientific-ml stiff-ode stochastic-differential-equations

Last synced: 04 Apr 2025

https://github.com/SciML/SciMLTutorials.jl

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

dae dde differential-equations differentialequations hacktoberfest julia neural-differential-equations neural-ode ode ordinary-differential-equations partial-differential-equations pde python r scientific-machine-learning sciml sde stochastic-differential-equations

Last synced: 09 Jul 2025

https://github.com/sciml/scimltutorials.jl

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

dae dde differential-equations differentialequations hacktoberfest julia neural-differential-equations neural-ode ode ordinary-differential-equations partial-differential-equations pde python r scientific-machine-learning sciml sde stochastic-differential-equations

Last synced: 11 Dec 2025

https://github.com/msurtsukov/neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

jupyter-notebook neural-ode pytorch vae

Last synced: 03 Apr 2025

https://github.com/sciml/scimlsensitivity.jl

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, SDEs, DDEs, DAEs, etc.

adjoint backpropogation dae dde differential-equations differentialequations hacktoberfest neural-ode neural-sde ode scientific-machine-learning sciml sde sensitivity-analysis

Last synced: 11 Dec 2025

https://github.com/sciml/diffeqbase.jl

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

dae dde delay-differential-equations differential-algebraic-equations differential-equations differentialequations hacktoberfest neural-differential-equations neural-ode ode ordinary-differential-equations partial-differential-equations pde scientific-machine-learning sciml sde stochastic-differential-equations

Last synced: 29 Dec 2025

https://github.com/sciml/scimlbenchmarks.jl

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

ai ai-for-science benchmark dae differential-equations differentialequations jax julia matlab nerual-differential-equations neural-ode ode partial-differential-equations pde python pytorch scientific-machine-learning sciml sde

Last synced: 08 Oct 2025

https://github.com/SciML/SciMLSensitivity.jl

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, SDEs, DDEs, DAEs, etc.

adjoint backpropogation dae dde differential-equations differentialequations hacktoberfest neural-ode neural-sde ode scientific-machine-learning sciml sde sensitivity-analysis

Last synced: 04 May 2025

https://github.com/SciML/DiffEqBase.jl

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

dae dde delay-differential-equations differential-algebraic-equations differential-equations differentialequations hacktoberfest neural-differential-equations neural-ode ode ordinary-differential-equations partial-differential-equations pde scientific-machine-learning sciml sde stochastic-differential-equations

Last synced: 27 Mar 2025

https://github.com/sciml/componentarrays.jl

Arrays with arbitrarily nested named components.

array arrays control-systems controls controls-and-dynamics differential-equations differentialequations dynamical-systems julia machine-learning modeling modeling-language named-tuples neural-networks neural-ode optimization scientific-machine-learning simulation simulation-modeling

Last synced: 10 Apr 2025

https://github.com/sciml/diffeqdocs.jl

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

dae dde differential-equations hacktoberfest neural-ode ode physics-informed-learning scientific-machine-learning sciml sde

Last synced: 04 Sep 2025

https://github.com/mitmath/18s096sciml

18.S096 - Applications of Scientific Machine Learning

differential-equations lecture-notes neural-networks neural-ode partial-differential-equations scientific-machine-learning sciml

Last synced: 24 Feb 2025

https://github.com/sciml/diffeqgpu.jl

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

dae dde differential-equations differentialequations gpu gpu-parallelism neural-differential-equations neural-ode ode scientific-machine-learning sciml sde

Last synced: 04 Sep 2025

https://github.com/SciML/ComponentArrays.jl

Arrays with arbitrarily nested named components.

array arrays control-systems controls controls-and-dynamics differential-equations differentialequations dynamical-systems julia machine-learning modeling modeling-language named-tuples neural-networks neural-ode optimization scientific-machine-learning simulation simulation-modeling

Last synced: 01 Aug 2025

https://github.com/SciML/DiffEqOperators.jl

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

differential-equations differentialequations fdm finite-difference-method julia matrix-free neural-differential-equations neural-ode partial-differential-equations pde scientific-machine-learning sciml sde stochastic-differential-equations

Last synced: 04 May 2025

https://github.com/jacobjinkelly/easy-neural-ode

Code for the paper "Learning Differential Equations that are Easy to Solve"

deep-learning deep-neural-networks differential-equations dynamical-systems jax machine-learning neural-differential-equations neural-ode numerical-integration ode ode-solver

Last synced: 15 Jul 2025

https://github.com/chrisrackauckas/universal_differential_equations

Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML

neural-ode scientific-machine-learning sciml universal-differential-equations

Last synced: 08 Apr 2025

https://github.com/titu1994/tfdiffeq

Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support

eager-execution neural-ode ordinary-differential-equations tensorflow

Last synced: 02 Sep 2025

https://github.com/zymrael/gde

Neural Graph Differential Equations (Neural GDEs)

dynamical-systems graph-neural-networks neural-ode

Last synced: 21 Aug 2025

https://github.com/sciml/diffeqcallbacks.jl

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

callback dae dde differential-equations julia neural-ode ode scientific-machine-learning sciml sde

Last synced: 27 Jul 2025

https://github.com/deng-mit/crnn

Chemical Reaction Neural Network

chemical-kinetics neural-ode sciml

Last synced: 17 Jun 2025

https://github.com/sciml/multiscalearrays.jl

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

automatic-differentiation dae dde differential-equations differentialequations hybrid-differential-equations julia models multiscale neural-differential-equations neural-ode ode scientific-ai scientific-machine-learning scientific-ml sciml sde

Last synced: 26 Jul 2025

https://github.com/sciml/sciml.ai

The SciML Scientific Machine Learning Software Organization Website

dae dde differential-equations franklin julia julia-language julialang machine-learning neural-ode ode physics-informed-learning scientific-machine-learning sciml sde

Last synced: 05 Apr 2025

https://github.com/sciml/modelingtoolkitneuralnets.jl

Symbolic-Numeric Neural DAEs and Universal Differential Equations for Automating Scientific Machine Learning (SciML)

julia machine-learning neural-networks neural-ode sciml symbolic-numerics ude

Last synced: 20 Jul 2025

https://github.com/avik-pal/regneuralde.jl

Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" (ICML 2021)

differential-equations julia mnist-classification neural-networks neural-ode physionet regularization sciml

Last synced: 27 Oct 2025

https://github.com/juliagusak/neural-ode-metasolver

Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561

adversarial-attacks neural-network neural-ode ordinary-differential-equations parametrized pytorch robustness runge-kutta solver

Last synced: 30 Apr 2025

https://github.com/frankschae/control-of-stochastic-quantum-dynamics-with-differentiable-programming

Repository for the Control of Stochastic Quantum Dynamics with Differentiable Programming paper.

neural-ode neural-sde quantum-control scientific-machine-learning sciml

Last synced: 26 Nov 2025

https://github.com/juliagusak/neural-ode-norm

Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"

anode neural-network neural-ode normalization ordinary-differential-equations pytorch

Last synced: 30 Apr 2025

https://github.com/xalpharax/neuralode-notes-projects

Repository for notes, projects and snippets on NODEs. Includes results after training CNN based networks with different methods on MNIST, CIFAR-10, CelebA and CatsAndDogs datasets accordingly.

convolutional-neural-networks deep-learning neural-network neural-ode python tensorflow

Last synced: 07 Jul 2025

https://github.com/thequantscientist/psr-node

[PACIS 2024] The official repo for the paper: "Phase Space Reconstructed Neural Ordinary Differential Equations Model for Stock Price Forecasting".

information-systems neural-ode phase-space-reconstruction stock-price-forecasting

Last synced: 18 Mar 2025

https://github.com/yandexdataschool/inverse-problem-intensive

A short course on simulation-based infernce for physics at YSDA in April 2021

bayesian-inference inference machine-learning neural-ode optimisation simulation-based-inference surrogate-based-optimization

Last synced: 10 Apr 2025

https://github.com/gpavanb1/nodefit

Fit time-series data with a Neural Differential Equation!

neural-network neural-ode numerical-methods python pytorch

Last synced: 10 Apr 2025

https://github.com/jaketae/graph-neural-ode

Graph neural ordinary differential equations

gnn graph-neural-networks neural-ode ordinary-differential-equations pytorch

Last synced: 11 Oct 2025

https://github.com/serre-lab/kuranet

This repository contains the code for training and visualizing the fully-differentiable Kuramoto model, "KuraNet".

deep-learning dynamical-systems kuramoto-model neural-ode

Last synced: 27 Apr 2025

https://github.com/ryushinn/ode-video

The official repo for [Generative Video Bi-flow, ICCV 2025]

flow-matching neural-ode video-generation

Last synced: 09 Sep 2025

https://github.com/jakublala/coarsegrained-md-neural-ode

Thesis repository on neural ordinary differential equations used for coarse-graining molecular dynamics

coarse-grained-molecular-dynamics differential-equations molecular-dynamics neural-ode scientific-machine-learning thesis toy-problem

Last synced: 03 Oct 2025

https://github.com/jakublala/md-neural-ode

First two problems of my Master's Thesis on Coarse-Graining of Molecular Dynamics with Neural Ordinary Differential Equations

deep-learning machine-learning molecular-dynamics neural-ode toy-problems

Last synced: 11 Oct 2025

https://github.com/masterx35/parallel-computing-

Explore parallel computing with sorting algorithms and a deep neural network. Compare performance using Python's multithreading, multiprocessing, and GPU acceleration. 🚀💻

dask differential-equations distributed-computing hpc lecture-notes mysql neural-networks neural-ode neural-sde parallel parallel-computing parallel-programming pydata scientific-machine-learning scikit-learn sciml scipy simulation

Last synced: 03 Jul 2025

https://github.com/ilyaorson/directcollocationneuralodes

A direct collocation approach for more effective training of Neural ODEs

collocation julia neural-ode optimal-control

Last synced: 10 Jul 2025