Alternatives and similar repositories for compressed-transformer

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

• pmichel31415 / are-16-heads-really-better-than-1
  Code for the paper "Are Sixteen Heads Really Better than One?"
  ☆174Updated 5 years ago
• tnq177 / transformers_without_tears
  Transformers without Tears: Improving the Normalization of Self-Attention
  ☆134Updated last year
• layer6ai-labs / T-Fixup
  Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"
  ☆89Updated 4 years ago
• szhangtju / The-compression-of-Transformer
  ☆64Updated 5 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• gonglinyuan / StackingBERT
  Source code for "Efficient Training of BERT by Progressively Stacking"
  ☆113Updated 6 years ago
• rosinality / adaptive-softmax-pytorch
  Adaptive Softmax implementation for PyTorch
  ☆81Updated 6 years ago
• zhuohan123 / macaron-net
  Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View"
  ☆147Updated 6 years ago
• huggingface / block_movement_pruning
  Block Sparse movement pruning
  ☆81Updated 5 years ago
• mit-han-lab / hardware-aware-transformers
  [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
  ☆337Updated last year
• harvardnlp / genbmm
  CUDA kernels for generalized matrix-multiplication in PyTorch
  ☆85Updated 4 years ago
• ofirpress / PartialShuffle
  ☆14Updated 6 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆153Updated 2 years ago
• sIncerass / powernorm
  [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
  ☆120Updated 4 years ago
• hendrycks / GELUs
  A smoother activation function (undergrad code)
  ☆116Updated 5 years ago
• KhrulkovV / tt-pytorch
  ☆59Updated 5 years ago
• cybertronai / pytorch-lamb
  Implementation of https://arxiv.org/abs/1904.00962
  ☆377Updated 5 years ago
• rdspring1 / PyTorch_GBW_LM
  PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset
  ☆123Updated 6 years ago
• tt-embedding / tt-embeddings
  ☆28Updated 6 years ago
• lancopku / Prime
  A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.
  ☆86Updated 2 years ago
• microsoft / infinibatch
  Efficient, check-pointed data loading for deep learning with massive data sets.
  ☆211Updated 2 years ago
• ymcui / LAMB_Optimizer_TF
  LAMB Optimizer for Large Batch Training (TensorFlow version)
  ☆121Updated 6 years ago
• andreamad8 / Universal-Transformer-Pytorch
  Implementation of Universal Transformer in Pytorch
  ☆265Updated 7 years ago
• TezRomacH / layer-to-layer-pytorch
  PyTorch implementation of L2L execution algorithm
  ☆109Updated 3 years ago
• mit-han-lab / neurips-micronet
  [JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion
  ☆41Updated 4 years ago
• ptillet / torch-blocksparse
  Block-sparse primitives for PyTorch
  ☆160Updated 4 years ago
• XuezheMax / apollo
  Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization
  ☆182Updated 4 years ago
• LiyuanLucasLiu / Transformer-Clinic
  Understanding the Difficulty of Training Transformers
  ☆332Updated 3 years ago
• VITA-Group / BERT-Tickets
  [NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Ya…
  ☆141Updated 4 years ago
• yzh119 / BPT
  Source code of paper "BP-Transformer: Modelling Long-Range Context via Binary Partitioning"
  ☆127Updated 4 years ago