mfinzi / equivariant-MLP

Related projects ⓘ

Alternatives and complementary repositories for equivariant-MLP

• mfinzi / LieConv
  ☆258Updated last year
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆85Updated 11 months ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆68Updated last year
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 3 years ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆128Updated 2 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆115Updated last year
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆183Updated last month
• google-deepmind / jaxline
  ☆152Updated 10 months ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆42Updated 2 years ago
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆62Updated last year
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆301Updated last week
• google-research / ott
  ☆213Updated 2 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆93Updated 2 months ago
• emilemathieu / escnn_jax
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆27Updated last year
• tensorfieldnetworks / tensorfieldnetworks
  ☆154Updated 4 years ago
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆244Updated this week
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆141Updated last year
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆76Updated 5 months ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated 11 months ago
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆227Updated last year
• pimdh / lie-vae
  VAEs with Lie Group latent space
  ☆97Updated 2 years ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆170Updated 2 years ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆73Updated 11 months ago
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆32Updated 4 years ago
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆188Updated 5 months ago
• mariogeiger / se3cnn
  Euclidean Neural Networks
  ☆188Updated 3 years ago
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆321Updated 6 months ago
• Qualcomm-AI-research / geometric-algebra-transformer
  ☆145Updated last month
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆269Updated 2 years ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆51Updated last year