Alternatives and similar repositories for awesome-neural-ode

Users that are interested in awesome-neural-ode are comparing it to the libraries listed below

• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,518Updated last year
• msurtsukov / neural-ode
  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
  ☆775Updated last year
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,664Updated 7 months ago
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆545Updated 2 years ago
• YuliaRubanova / latent_ode
  Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
  ☆561Updated 4 years ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆445Updated 2 years ago
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆664Updated 2 years ago
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,559Updated last month
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆479Updated 4 years ago
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,734Updated last week
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆953Updated 3 months ago
• NeuroDiffGym / neurodiffeq
  A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…
  ☆757Updated 3 weeks ago
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆760Updated last year
• rtqichen / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆6,097Updated 4 months ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆282Updated 3 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆650Updated 4 years ago
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆508Updated last year
• BethanyL / DeepKoopman
  neural networks to learn Koopman eigenfunctions
  ☆422Updated last year
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆456Updated 11 months ago
• kpchamp / SindyAutoencoders
  ☆365Updated 3 years ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆945Updated 7 months ago
• spdes / computational-sde-intro-lecture
  Lecture "A computational introduction to stochastic differential equations".
  ☆23Updated last month
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆697Updated 3 weeks ago
• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆870Updated last year
• neuraloperator / neuraloperator
  Learning in infinite dimension with neural operators.
  ☆2,892Updated last week
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆404Updated 2 months ago
• cvxpy / cvxpylayers
  Differentiable convex optimization layers
  ☆1,972Updated 2 weeks ago
• Rachnog / Neural-ODE-Experiments
  This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data
  ☆199Updated 6 years ago
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆967Updated 3 weeks ago
• geomstats / geomstats
  Computations and statistics on manifolds with geometric structures.
  ☆1,395Updated 3 months ago