Alternatives and similar repositories for equivariant-MLP

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

• mfinzi / LieConv
  ☆273Updated 2 years ago
• emilemathieu / escnn_jax
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆32Updated 2 years ago
• google-research / ott
  ☆214Updated 3 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…
  ☆311Updated this week
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆156Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆86Updated 2 years ago
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆259Updated 2 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆94Updated 2 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆231Updated 5 years ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆287Updated 4 years ago
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆304Updated this week
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆125Updated 2 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆121Updated last month
• google-deepmind / jaxline
  ☆162Updated 2 years ago
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆283Updated 3 weeks ago
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆33Updated 5 years ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 4 years ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆58Updated 2 years ago
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆357Updated 8 months ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 4 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated 2 years ago
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆90Updated last year
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆78Updated 4 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆290Updated 4 years ago
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆221Updated 4 months ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆152Updated 5 years ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆196Updated 5 months ago
• crowsonkb / mdmm
  The Modified Differential Multiplier Method (MDMM) for PyTorch
  ☆60Updated 4 years ago