Alternatives and similar repositories for delight

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

• mit-han-lab / lite-transformer
  [ICLR 2020] Lite Transformer with Long-Short Range Attention
  ☆612Updated last year
• tatp22 / linformer-pytorch
  My take on a practical implementation of Linformer for Pytorch.
  ☆417Updated 3 years ago
• lucidrains / routing-transformer
  Fully featured implementation of Routing Transformer
  ☆297Updated 3 years ago
• LiyuanLucasLiu / Transformer-Clinic
  Understanding the Difficulty of Training Transformers
  ☆329Updated 3 years ago
• majumderb / rezero
  Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"
  ☆411Updated last year
• lucidrains / sinkhorn-transformer
  Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention
  ☆267Updated 4 years ago
• cybertronai / pytorch-lamb
  Implementation of https://arxiv.org/abs/1904.00962
  ☆376Updated 4 years ago
• NVIDIA / transformer-ls
  Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).
  ☆225Updated 3 years ago
• laiguokun / Funnel-Transformer
  ☆219Updated 5 years ago
• rishikksh20 / FNet-pytorch
  Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
  ☆259Updated 4 years ago
• lucidrains / g-mlp-pytorch
  Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
  ☆428Updated 4 years ago
• guolinke / TUPE
  Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve exis…
  ☆251Updated 3 years ago
• yitu-opensource / ConvBert
  ☆252Updated 2 years ago
• lukemelas / do-you-even-need-attention
  Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)
  ☆486Updated 4 years ago
• facebookresearch / adaptive-span
  Transformer training code for sequential tasks
  ☆612Updated 3 years ago
• PhilJd / contiguous_pytorch_params
  Accelerate training by storing parameters in one contiguous chunk of memory.
  ☆290Updated 4 years ago
• microsoft / fastformers
  FastFormers - highly efficient transformer models for NLU
  ☆707Updated 5 months ago
• JetRunner / BERT-of-Theseus
  ⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).
  ☆315Updated 2 years ago
• twistedcubic / attention-rank-collapse
  [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.
  ☆166Updated 4 years ago
• graykode / ALBERT-Pytorch
  Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)
  ☆227Updated 4 years ago
• XuezheMax / apollo
  Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization
  ☆182Updated 3 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆151Updated 2 years ago
• alexa / bort
  Repository for the paper "Optimal Subarchitecture Extraction for BERT"
  ☆472Updated 3 years ago
• epfml / attention-cnn
  Source code for "On the Relationship between Self-Attention and Convolutional Layers"
  ☆1,109Updated 2 years ago
• lucidrains / performer-pytorch
  An implementation of Performer, a linear attention-based transformer, in Pytorch
  ☆1,144Updated 3 years ago
• lucidrains / linear-attention-transformer
  Transformer based on a variant of attention that is linear complexity in respect to sequence length
  ☆794Updated last year
• google-research / noisystudent
  Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
  ☆764Updated 4 years ago
• dreamgonfly / transformer-pytorch
  A PyTorch implementation of Transformer in "Attention is All You Need"
  ☆106Updated 4 years ago
• DSE-MSU / R-transformer
  Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.
  ☆230Updated 6 years ago
• sIncerass / powernorm
  [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
  ☆120Updated 4 years ago