Alternatives and similar repositories for equivariant-MLP:

Users that are interested in equivariant-MLP are comparing it to the libraries listed below

• mfinzi / LieConv
  ☆262Updated last year
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆87Updated last year
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆263Updated 2 weeks ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆305Updated 2 months ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated last year
• emilemathieu / escnn_jax
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆29Updated last year
• google-deepmind / jaxline
  ☆153Updated last year
• google-research / ott
  ☆213Updated 3 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆103Updated 3 weeks ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆115Updated last year
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆145Updated last year
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆237Updated last week
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆79Updated 8 months ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆129Updated 3 years ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆42Updated 3 years ago
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆199Updated 3 weeks ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated last year
• QUVA-Lab / escnn
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆402Updated 3 months ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆114Updated last month
• google-deepmind / distrax
  ☆548Updated 2 months ago
• crowsonkb / mdmm
  The Modified Differential Multiplier Method (MDMM) for PyTorch
  ☆56Updated 3 years ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
  ☆567Updated this week
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆286Updated 4 years ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆169Updated 3 years ago
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆236Updated last year
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆275Updated 3 years ago
• tensorfieldnetworks / tensorfieldnetworks
  ☆157Updated 5 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 3 years ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆54Updated last year