Alternatives and similar repositories for noethers-razor

Users that are interested in noethers-razor are comparing it to the libraries listed below

• maxxxzdn / implicit-steerable-kernels
  Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]
  ☆30Updated 11 months ago
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆90Updated last year
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆63Updated 2 years ago
• flukeskywalker / nanoDD
  Simple Scalable Discrete Diffusion for text in PyTorch
  ☆37Updated last year
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆66Updated last year
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆30Updated last year
• emilemathieu / escnn_jax
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆32Updated 2 years ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆58Updated 2 years ago
• mfinzi / residual-pathway-priors
  ☆22Updated 4 years ago
• maxxxzdn / clifford-group-equivariant-cnns
  Clifford-Steerable Convolutional Neural Networks [ICML'24]
  ☆52Updated 8 months ago
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆68Updated last year
• GFNOrg / gfn-diffusion
  ☆36Updated 10 months ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆87Updated 2 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆39Updated 3 years ago
• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆51Updated 10 months ago
• katalinic / sdflows
  JAX exponential map normalising flows on sphere
  ☆17Updated 5 years ago
• saleml / continuous-gfn
  ☆28Updated 2 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆53Updated 3 years ago
• DoronHav / WassersteinFlowMatching
  ☆37Updated last week
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆52Updated 2 years ago
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆110Updated 3 months ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆42Updated last year
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆259Updated 2 years ago
• Qualcomm-AI-research / geometric-algebra-transformer
  ☆219Updated 11 months ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆71Updated 10 months ago
• lucidrains / frame-averaging-pytorch
  Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network
  ☆51Updated last year
• augustwester / gflownet
  A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
  ☆44Updated 2 years ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 4 years ago
• ngruver / lie-deriv
  ☆39Updated 3 years ago
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆77Updated last year