Alternatives and similar repositories for kronecker-attention-pytorch

Users that are interested in kronecker-attention-pytorch are comparing it to the libraries listed below

• Holmeswww / PPOGAN
  ☆24Updated last year
• lucidrains / remixer-pytorch
  Implementation of the Remixer Block from the Remixer paper, in Pytorch
  ☆36Updated 3 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• aabbas90 / COPS
  Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".
  ☆16Updated 2 years ago
• Zasder3 / open_clip_juwels
  An open source implementation of CLIP.
  ☆32Updated 2 years ago
• lucidrains / mlp-gpt-jax
  A GPT, made only of MLPs, in Jax
  ☆58Updated 3 years ago
• vacancy / AdvancedIndexing-PyTorch
  (Batched) advanced indexing for PyTorch.
  ☆53Updated 5 months ago
• rwightman / imagenet-12k
  ImageNet-12k subset of ImageNet-21k (fall11)
  ☆21Updated last year
• lucidrains / deep-linear-network
  A simple implementation of a deep linear Pytorch module
  ☆21Updated 4 years ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆15Updated 4 years ago
• lucidrains / isab-pytorch
  An implementation of (Induced) Set Attention Block, from the Set Transformers paper
  ☆59Updated 2 years ago
• shellysheynin / Locally-SAG-Transformer
  Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"
  ☆15Updated 3 years ago
• vinbhaskara / adams
  Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
  ☆15Updated 6 years ago
• lucidrains / all-normalization-transformer
  A simple Transformer where the softmax has been replaced with normalization
  ☆20Updated 4 years ago
• facebookresearch / grounding-inductive-biases
  reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"
  ☆17Updated 8 months ago
• lucidrains / compositional-attention-pytorch
  Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…
  ☆51Updated 3 years ago
• BayesWatch / deficient-efficient
  Successfully training approximations to full-rank matrices for efficiency in deep learning.
  ☆17Updated 4 years ago
• facebookresearch / image-to-set
  The project is about predicting sets (of classes) from images.
  ☆22Updated 3 years ago
• lucidrains / AoA-pytorch
  A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering
  ☆42Updated 4 years ago
• doerlbh / UnsupervisedAttentionMechanism
  Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
  ☆21Updated 3 years ago
• ClashLuke / PerfTorch
  High performance pytorch modules
  ☆18Updated 2 years ago
• lucidrains / rela-transformer
  Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012
  ☆50Updated 3 years ago
• NZ99 / transformer_in_transformer_flax
  ☆21Updated 4 years ago
• guoyongcs / NATv2
  Implementation for NATv2.
  ☆23Updated 4 years ago
• juntang-zhuang / ACProp-Optimizer
  Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)
  ☆15Updated 3 years ago
• AlexiaJM / GANsBeyondDivergenceMin
  Code for replication of the paper "GANs beyond divergence minimization"
  ☆21Updated 6 years ago
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 5 years ago
• lucidrains / einops-exts
  Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️
  ☆53Updated 2 years ago
• katelyn98 / CorruptionRobustness
  We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…
  ☆16Updated 3 years ago
• AranKomat / Metroplex
  ☆21Updated 2 years ago