A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
☆1,576May 2, 2024Updated 2 years ago
Alternatives and similar repositories for torchdyn
Users that are interested in torchdyn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,472Apr 4, 2025Updated last year
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,540Sep 13, 2024Updated last year
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,727Dec 30, 2024Updated last year
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆485Sep 4, 2025Updated 11 months ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆714Oct 22, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Pytorch implementation of Augmented Neural ODEs☆560Feb 9, 2023Updated 3 years ago
- This repository contains code released by DiffEqML Research☆94Mar 9, 2022Updated 4 years ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,082Jun 21, 2026Updated last month
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆290Nov 25, 2021Updated 4 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆48Oct 22, 2021Updated 4 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆669Sep 22, 2020Updated 5 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆790Apr 22, 2026Updated 3 months ago
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆598Dec 3, 2020Updated 5 years ago
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆806Feb 27, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Differentiable convex optimization layers☆2,123May 19, 2026Updated 2 months ago
- Neural Graph Differential Equations (Neural GDEs)☆212Apr 15, 2021Updated 5 years ago
- A differentiable PDE solving framework for machine learning☆1,923Jul 16, 2026Updated 3 weeks ago
- Regularized Neural ODEs (RNODE)☆80Jul 16, 2021Updated 5 years ago
- TorchCFM: a Conditional Flow Matching library☆2,559Jul 20, 2026Updated 2 weeks ago
- [NeurIPS'19] Deep Equilibrium Models☆805Jul 4, 2022Updated 4 years ago
- Normalizing flows in PyTorch☆1,020Dec 27, 2024Updated last year
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learnin…☆919Jul 28, 2026Updated last week
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Sep 30, 2024Updated last year
- code for "Residual Flows for Invertible Generative Modeling".☆275Sep 19, 2023Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆92Oct 19, 2022Updated 3 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,902Jul 10, 2026Updated 3 weeks ago
- Code for our paper "Hamiltonian Neural Networks"☆542Apr 13, 2021Updated 5 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,056Jun 4, 2026Updated 2 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Feb 11, 2022Updated 4 years ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,940Updated this week
- OSS library that implements deep learning methods for partial differential equations and much more☆472Jun 12, 2026Updated last month
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A parallel ODE solver for PyTorch☆289Mar 30, 2026Updated 4 months ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,628Mar 25, 2022Updated 4 years ago
- Manifold-learning flows (ℳ-flows)☆236Nov 13, 2020Updated 5 years ago
- Learning in infinite dimension with neural operators.☆3,797Updated this week
- Lagrangian Neural Networks☆568Sep 24, 2025Updated 10 months ago
- functorch is JAX-like composable function transforms for PyTorch.☆1,434Aug 21, 2025Updated 11 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,569Jul 5, 2026Updated last month