Alternatives and similar repositories for torchdyn

Users that are interested in torchdyn are comparing it to the libraries listed below

• Zymrael / awesome-neural-ode
  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…
  ☆1,434Updated 8 months ago
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,646Updated 5 months ago
• msurtsukov / neural-ode
  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
  ☆757Updated last year
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆642Updated 4 years ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆436Updated last year
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,651Updated this week
• rtqichen / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆5,970Updated 2 months ago
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆652Updated 2 years ago
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆471Updated 4 years ago
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆541Updated 2 years ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆279Updated 3 years ago
• NeuroDiffGym / neurodiffeq
  A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…
  ☆743Updated 3 months ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆920Updated 5 months ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆448Updated 9 months ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆678Updated 3 years ago
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆255Updated 8 months ago
• boschresearch / torchphysics
  ☆437Updated 3 weeks ago
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆902Updated 2 weeks ago
• YuliaRubanova / latent_ode
  Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
  ☆554Updated 4 years ago
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆971Updated last month
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆505Updated last month
• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆838Updated 9 months ago
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,531Updated last month
• google-deepmind / distrax
  ☆572Updated 2 weeks ago
• tum-pbs / PhiFlow
  A differentiable PDE solving framework for machine learning
  ☆1,618Updated last month
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,433Updated last year
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆494Updated 11 months ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,339Updated last year
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆384Updated last month
• patrick-kidger / equinox
  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
  ☆2,375Updated last week