Alternatives and similar repositories for easy-neural-ode

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

• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago
• DiffEqML / diffeqml-research
  This repository contains code released by DiffEqML Research
  ☆90Updated 3 years ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆441Updated 2 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆112Updated 4 months ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆148Updated 2 years ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆454Updated 11 months ago
• titu1994 / tfdiffeq
  Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
  ☆220Updated 4 years ago
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆478Updated 4 years ago
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆269Updated 2 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆91Updated last year
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆543Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆308Updated last month
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆524Updated last month
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆206Updated this week
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated 9 months ago
• cfinlay / ffjord-rnode
  Regularized Neural ODEs (RNODE)
  ☆83Updated 4 years ago
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆234Updated last year
• mfinzi / constrained-hamiltonian-neural-networks
  ☆110Updated 4 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆505Updated last year
• google-research / ott
  ☆214Updated 3 years ago
• cagatayyildiz / ODE2VAE
  ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
  ☆129Updated 11 months ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆99Updated 6 months ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆119Updated 2 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆135Updated last month
• massastrello / awesome-implicit-neural-models
  ☆103Updated 4 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago