Alternatives and similar repositories for The-compression-of-Transformer:

Users that are interested in The-compression-of-Transformer are comparing it to the libraries listed below

• khakhulin / compressed-transformer
  Compression of NMT transformer model with tensor methods
  ☆48Updated 5 years ago
• lancopku / AdaNorm
  Code for "Understanding and Improving Layer Normalization"
  ☆46Updated 5 years ago
• FreedomIntelligence / complex-order
  ☆83Updated 5 years ago
• Noahs-ARK / RFA
  ☆33Updated 3 years ago
• yaohungt / TransformerDissection
  [EMNLP'19] Summary for Transformer Understanding
  ☆53Updated 5 years ago
• asappresearch / flop
  Pytorch library for factorized L0-based pruning.
  ☆44Updated last year
• pmichel31415 / are-16-heads-really-better-than-1
  Code for the paper "Are Sixteen Heads Really Better than One?"
  ☆171Updated 4 years ago
• xuanqing94 / FLOATER
  Learning to Encode Position for Transformer with Continuous Dynamical Model
  ☆59Updated 4 years ago
• tt-embedding / tt-embeddings
  ☆27Updated 5 years ago
• twinkle0331 / Xcompression
  [ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)
  ☆22Updated last year
• zhuohan123 / macaron-net
  Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View"
  ☆148Updated 5 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆152Updated last year
• ramakanth-pasunuru / CAS-MAS
  Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"
  ☆41Updated 5 years ago
• KhrulkovV / tt-pytorch
  ☆60Updated 4 years ago
• androstj / tensor_rnn
  An implementation of various tensor-based decomposition for NN & RNN parameters
  ☆18Updated 6 years ago
• gonglinyuan / StackingBERT
  Source code for "Efficient Training of BERT by Progressively Stacking"
  ☆112Updated 5 years ago
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆62Updated 3 years ago
• dguo98 / DiffPruning
  Parameter Efficient Transfer Learning with Diff Pruning
  ☆73Updated 4 years ago
• rabeehk / vibert
  Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021
  ☆39Updated 3 years ago
• msobroza / compositional_code_learning
  Reproduce the results of paper "Compressing Word Embeddings via Deep Compositional Code Learning" accepted ICLR 2018
  ☆23Updated 6 years ago
• zhaodongh / Encoding-Word-Order-in-Complex-valued-Embedding
  The code of Encoding Word Order in Complex-valued Embedding
  ☆42Updated 5 years ago
• icml2019paper2428 / Towards-A-Deep-and-Unified-Understanding-of-Deep-Neural-Models-in-NLP
  Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP
  ☆72Updated 5 years ago
• iedwardwangi / MetaAdapter
  ☆22Updated 3 years ago
• pkuzengqi / Skyformer
  Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
  ☆60Updated 2 years ago
• rycolab / differentiable-subset-pruning
  ☆15Updated 3 years ago
• Rick-McCoy / Reformer-pytorch
  Implements Reformer: The Efficient Transformer in pytorch.
  ☆85Updated 5 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆62Updated 4 years ago
• zhuohan123 / g2-lstm
  Codes for "Towards Binary-Valued Gates for Robust LSTM Training".
  ☆76Updated 6 years ago
• 10-zin / Synthesizer
  A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"
  ☆73Updated 2 years ago
• xwgeng / SSAN
  How Does Selective Mechanism Improve Self-attention Networks?
  ☆27Updated 4 years ago