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
  ☆1,438Updated 9 months ago
• msurtsukov / neural-ode
  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
  ☆726Updated 11 months ago
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆536Updated 2 years ago
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,608Updated last month
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆635Updated 4 years ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆426Updated last year
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,483Updated 2 weeks ago
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆447Updated 3 years ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆274Updated 3 years ago
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆635Updated 2 years ago
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,540Updated last week
• rtqichen / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆5,770Updated this week
• YuliaRubanova / latent_ode
  Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
  ☆540Updated 4 years ago
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆476Updated 7 months ago
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆830Updated 3 weeks ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆878Updated last month
• NeuroDiffGym / neurodiffeq
  A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…
  ☆721Updated 2 weeks ago
• boschresearch / torchphysics
  ☆427Updated 2 months ago
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆743Updated last year
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆248Updated 4 months ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆431Updated 5 months ago
• kpchamp / SindyAutoencoders
  ☆345Updated 3 years ago
• thunil / Physics-Based-Deep-Learning
  Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
  ☆1,760Updated 3 weeks ago
• titu1994 / tfdiffeq
  Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
  ☆218Updated 4 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆666Updated 2 years ago
• Rachnog / Neural-ODE-Experiments
  This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data
  ☆197Updated 5 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆596Updated last year
• bitzhangcy / Neural-PDE-Solver
  ☆860Updated this week
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆372Updated last year
• neuraloperator / neuraloperator
  Learning in infinite dimension with neural operators.
  ☆2,414Updated this week