Alternatives and similar repositories for lie-transformer:

Users that are interested in lie-transformer are comparing it to the libraries listed below

• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆44Updated 3 years ago
• lucidrains / lie-transformer-pytorch
  Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
  ☆91Updated 4 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• pimdh / relie
  Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
  ☆52Updated 2 years ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆46Updated last year
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆72Updated last year
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago
• mfinzi / LieConv
  ☆271Updated 2 years ago
• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆34Updated 3 years ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆55Updated 9 months ago
• ebekkers / ponita
  Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.
  ☆82Updated 11 months ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆83Updated 3 years ago
• QUVA-Lab / e2cnn_experiments
  Experiment for General E(2)-Equivariant Steerable CNNs
  ☆30Updated 4 years ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆47Updated last year
• gallego-posada / eman
  Equivariant Mesh Attention Networks
  ☆21Updated 2 years ago
• ejnnr / steerable_pdos
  Fork of the E2CNN library that adds support for equivariant partial differential operators
  ☆17Updated 3 years ago
• ghliu / snopt
  Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight
  ☆52Updated 3 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆62Updated 3 years ago
• katalinic / sdflows
  JAX exponential map normalising flows on sphere
  ☆17Updated 4 years ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆76Updated 3 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 4 years ago
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆29Updated last year
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆57Updated last year
• maxxxzdn / clifford-group-equivariant-cnns
  Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"
  ☆47Updated 8 months ago
• mshakerinava / AutoEquiv
  Group Equivariant Linear Maps
  ☆11Updated 3 years ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆110Updated last year
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆42Updated last year
• noamroze / moser_flow
  ☆17Updated 3 years ago
• energy-based-model / energy-based-model
  ☆34Updated 3 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆118Updated last year