Alternatives and similar repositories for implicit-steerable-kernels

Users that are interested in implicit-steerable-kernels are comparing it to the libraries listed below

• maxxxzdn / clifford-group-equivariant-cnns
  Clifford-Steerable Convolutional Neural Networks [ICML'24]
  ☆50Updated 7 months ago
• necludov / jam
  Implementation of Action Matching
  ☆48Updated 2 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆50Updated 3 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆25Updated 2 years ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆78Updated 3 years ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆66Updated last year
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆49Updated 5 months ago
• KingJamesSong / PDETraversal
  ICML23 "Latent Traversals in Generative Models as Potential Flows"
  ☆27Updated 2 years ago
• david-knigge / enf-min-jax
  A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).
  ☆25Updated 2 weeks ago
• necludov / wl-mechanics
  ☆31Updated last year
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆70Updated 8 months ago
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆109Updated last month
• DoronHav / WassersteinFlowMatching
  ☆35Updated this week
• cscarv / riemannian-metric-learning-ot
  ☆18Updated 2 years ago
• smsharma / minified-generative-models
  Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…
  ☆137Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆116Updated last year
• noamroze / moser_flow
  ☆18Updated 3 years ago
• francois-rozet / papers-101
  Implementation of papers in 101 lines of code.
  ☆18Updated 2 years ago
• emilemathieu / escnn_jax
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆31Updated 2 years ago
• katalinic / sdflows
  JAX exponential map normalising flows on sphere
  ☆17Updated 5 years ago
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆88Updated last year
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆112Updated last year
• sooheon / perceiver-jax
  Perceiver (transformer variant) implemented in JAX and Flax
  ☆12Updated 4 years ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆26Updated last year
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆69Updated 9 months ago
• Dafidofff / enf-jax
  ☆14Updated 10 months ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 4 years ago
• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆51Updated 8 months ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago