Alternatives and similar repositories for VN-transformer

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

• lucidrains / gradnorm-pytorch
  A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch
  ☆108Updated last month
• lucidrains / coordinate-descent-attention
  Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk
  ☆46Updated 2 years ago
• autonomousvision / gta
  [ICLR'24] GTA: A Geometry-Aware Attention Mechanism for Multi-view Transformers
  ☆145Updated 5 months ago
• lucidrains / spline-based-transformer
  Implementation of the proposed Spline-Based Transformer from Disney Research
  ☆103Updated 10 months ago
• jw9730 / setvae
  [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
  ☆76Updated 2 years ago
• lucidrains / recurrent-interface-network-pytorch
  Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in P…
  ☆207Updated last year
• lucidrains / hl-gauss-pytorch
  The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch
  ☆65Updated last month
• kylehkhsu / latent_quantization
  ☆41Updated last year
• lucidrains / hourglass-transformer-pytorch
  Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI
  ☆94Updated 3 years ago
• google-deepmind / functa
  ☆158Updated last year
• louaaron / Reflected-Diffusion
  [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)
  ☆158Updated last year
• lucidrains / kalman-filtering-attention
  Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"
  ☆58Updated last year
• lebellig / flow-matching
  Annotated Flow Matching paper
  ☆208Updated last year
• amorehead / jvp_flash_attention
  Flash Attention Triton kernel with support for second-order derivatives
  ☆86Updated last week
• bm371613 / conditional-flow-matching
  ☆14Updated last year
• vsitzmann / neural-isometries
  Official JAX implementation of neural isometries - taming transformations for equivariant ML
  ☆35Updated last month
• Lakonik / GMFlow
  [ICML 2025] Gaussian Mixture Flow Matching Models (GMFlow)
  ☆140Updated 3 months ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆158Updated 2 years ago
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated 2 years ago
• lucidrains / self-reasoning-tokens-pytorch
  Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto
  ☆56Updated last year
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆49Updated last year
• lucidrains / einops-exts
  Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️
  ☆56Updated 2 years ago
• varun-ml / diffusion-models-tutorial
  Experiment with diffusion models that you can run on your local jupyter instances
  ☆63Updated 10 months ago
• mlpc-ucsd / BDM
  (CVPR 2024) Bayesian Diffusion Models for 3D Shape Reconstruction
  ☆34Updated last year
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆68Updated 2 years ago
• lucidrains / frame-averaging-pytorch
  Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network
  ☆50Updated last year
• microsoft / ReinMax
  Beyond Straight-Through
  ☆102Updated 2 years ago
• apple / ml-agm
  ☆44Updated last year
• lucidrains / taylor-series-linear-attention
  Explorations into the recently proposed Taylor Series Linear Attention
  ☆100Updated last year
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆261Updated last year