Alternatives and similar repositories for partial_gcnn

Users that are interested in partial_gcnn are comparing it to the libraries listed below

• Haggaim / On-Learning-Sets-of-Symmetric-Elements
  Pytorch implementation of The ICML 2020 paper "On Learning Sets of Symmetric Elements" by Haggai Maron, Or Litany, Gal Chechik, Ethan Fet…
  ☆10Updated 4 years ago
• ngruver / lie-deriv
  ☆38Updated 2 years ago
• dwromero / g_selfatt
  Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…
  ☆29Updated 4 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated 2 years ago
• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆45Updated 4 months ago
• AKuzina / dvp_vae
  Hierarchical VAE with a Diffusion-based VampPrior
  ☆10Updated 7 months ago
• GFNOrg / gfn-diffusion
  ☆35Updated 3 months ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆23Updated last year
• andrew-cr / jump-diffusion
  ☆34Updated last year
• noamroze / moser_flow
  ☆17Updated 3 years ago
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆30Updated last year
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 3 years ago
• saleml / continuous-gfn
  ☆24Updated last year
• gnobitab / ConstrainedDiffusionBridge
  ☆13Updated 2 years ago
• gcorso / particle-guidance
  Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
  ☆71Updated last year
• maxxxzdn / implicit-steerable-kernels
  Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]
  ☆28Updated 4 months ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆24Updated last year
• flukeskywalker / nanoDD
  Simple Scalable Discrete Diffusion for text in PyTorch
  ☆34Updated 9 months ago
• mshakerinava / AutoEquiv
  Group Equivariant Linear Maps
  ☆11Updated 4 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆37Updated last year
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆55Updated 4 months ago
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆72Updated 11 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.
  ☆41Updated last year
• locuslab / get
  Generative Equilibrium Transformer
  ☆22Updated last year
• lucidrains / tranception-pytorch
  Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction
  ☆32Updated 3 years ago
• iamalexkorotin / KernelNeuralOptimalTransport
  PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
  ☆25Updated last year
• 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
• tongzhoumu / mean_flow_2d
  A minimal, single-file implementation of the MeanFlow paper on 2D toy examples, with a side-by-side comparison to rectified flow.
  ☆21Updated 2 weeks ago
• sooheon / perceiver-jax
  Perceiver (transformer variant) implemented in JAX and Flax
  ☆12Updated 4 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year