Alternatives and similar repositories for lie-deriv

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

• tychovdo / lila
  Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
  ☆23Updated 2 years ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆72Updated last year
• saleml / continuous-gfn
  ☆24Updated last year
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆46Updated 2 years ago
• facebookresearch / Addressing-the-Topological-Defects-of-Disentanglement
  Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"
  ☆22Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated 2 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆37Updated last year
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• lucidrains / isab-pytorch
  An implementation of (Induced) Set Attention Block, from the Set Transformers paper
  ☆60Updated 2 years ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆47Updated last year
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated 2 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• MichaelArbel / GeneralizedEBM
  ☆54Updated 11 months ago
• merlresearch / partial_gcnn
  Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"
  ☆10Updated 2 years ago
• matbun / EBM--Generative-Energy-Based-Modeling
  Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …
  ☆16Updated 4 years ago
• haguettaz / ChebLieNet
  ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
  ☆15Updated 10 months ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆44Updated 3 years ago
• facebookresearch / meta-ot
  Meta Optimal Transport
  ☆103Updated 2 years ago
• wgrathwohl / VERA
  ☆63Updated last year
• stanfordmlgroup / disentanglement
  Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
  ☆36Updated 4 years ago
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆72Updated 11 months ago
• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 3 years ago
• maxxxzdn / implicit-steerable-kernels
  Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]
  ☆28Updated 4 months ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆71Updated 2 years ago
• lucidrains / lie-transformer-pytorch
  Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
  ☆93Updated 4 years ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆47Updated last year
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 3 years ago