Zymrael / awesome-neural-odeView external linksLinks
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
☆1,517Sep 13, 2024Updated last year
Alternatives and similar repositories for awesome-neural-ode
Users that are interested in awesome-neural-ode are comparing it to the libraries listed below
Sorting:
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,553May 2, 2024Updated last year
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,338Apr 4, 2025Updated 10 months ago
- Pytorch implementation of Augmented Neural ODEs☆557Feb 9, 2023Updated 3 years ago
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆795Feb 27, 2024Updated last year
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆698Oct 22, 2022Updated 3 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆287Nov 25, 2021Updated 4 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,705Dec 30, 2024Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆91Oct 19, 2022Updated 3 years ago
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆585Dec 3, 2020Updated 5 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆472Sep 4, 2025Updated 5 months ago
- Neural Graph Differential Equations (Neural GDEs)☆213Apr 15, 2021Updated 4 years ago
- This repository contains code released by DiffEqML Research☆93Mar 9, 2022Updated 3 years ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,898Feb 8, 2026Updated last week
- Regularized Neural ODEs (RNODE)☆81Jul 16, 2021Updated 4 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆770Jul 27, 2025Updated 6 months ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆665Sep 22, 2020Updated 5 years ago
- Paper List For Linking ODE and Deep Learning☆246Feb 18, 2020Updated 5 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆57Mar 13, 2021Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models☆792Jul 4, 2022Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Sep 30, 2024Updated last year
- Awesome resources on normalizing flows.☆1,606Jul 7, 2025Updated 7 months ago
- A differentiable PDE solving framework for machine learning☆1,806Feb 6, 2026Updated last week
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,164Feb 2, 2026Updated 2 weeks ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆174Feb 11, 2022Updated 4 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,063May 15, 2025Updated 9 months ago
- Learning in infinite dimension with neural operators.☆3,390Jan 12, 2026Updated last month
- Code for our paper "Hamiltonian Neural Networks"☆505Apr 13, 2021Updated 4 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆132Aug 27, 2024Updated last year
- A library for scientific machine learning and physics-informed learning☆3,854Dec 12, 2025Updated 2 months ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,869Oct 10, 2025Updated 4 months ago
- Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)☆1,980Feb 1, 2026Updated 2 weeks ago
- Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learnin…☆910Updated this week
- Official code for the ICLR 2021 paper Neural ODE Processes☆76May 1, 2022Updated 3 years ago
- Lagrangian Neural Networks☆539Sep 24, 2025Updated 4 months ago
- Differentiable convex optimization layers☆2,054Feb 5, 2026Updated last week
- ☆105Feb 6, 2021Updated 5 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Apr 27, 2020Updated 5 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,374Mar 1, 2024Updated last year
- ☆287Sep 14, 2024Updated last year