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

• lancopku / AdaNorm
  Code for "Understanding and Improving Layer Normalization"
  ☆46Updated 5 years ago
• FreedomIntelligence / complex-order
  ☆83Updated 5 years ago
• khakhulin / compressed-transformer
  Compression of NMT transformer model with tensor methods
  ☆48Updated 5 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 2 years ago
• Noahs-ARK / RFA
  ☆33Updated 4 years ago
• gonglinyuan / StackingBERT
  Source code for "Efficient Training of BERT by Progressively Stacking"
  ☆112Updated 5 years ago
• yaohungt / TransformerDissection
  [EMNLP'19] Summary for Transformer Understanding
  ☆53Updated 5 years ago
• pmichel31415 / are-16-heads-really-better-than-1
  Code for the paper "Are Sixteen Heads Really Better than One?"
  ☆172Updated 5 years ago
• androstj / tensor_rnn
  An implementation of various tensor-based decomposition for NN & RNN parameters
  ☆18Updated 7 years ago
• KhrulkovV / tt-pytorch
  ☆60Updated 4 years ago
• asappresearch / flop
  Pytorch library for factorized L0-based pruning.
  ☆45Updated last year
• VITA-Group / BERT-Tickets
  [NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Ya…
  ☆140Updated 3 years ago
• xuanqing94 / FLOATER
  Learning to Encode Position for Transformer with Continuous Dynamical Model
  ☆60Updated 4 years ago
• dguo98 / DiffPruning
  Parameter Efficient Transfer Learning with Diff Pruning
  ☆73Updated 4 years ago
• dguo98 / SeqMix
  Sequence-Level Mixed Sample Data Augmentation
  ☆21Updated 4 years ago
• msobroza / compositional_code_learning
  Reproduce the results of paper "Compressing Word Embeddings via Deep Compositional Code Learning" accepted ICLR 2018
  ☆23Updated 7 years ago
• pkuzengqi / Skyformer
  Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
  ☆61Updated 3 years ago
• ramakanth-pasunuru / CAS-MAS
  Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"
  ☆41Updated 5 years ago
• lancopku / Explicit-Sparse-Transformer
  code for Explicit Sparse Transformer
  ☆62Updated last year
• rabeehk / vibert
  Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021
  ☆40Updated 4 years ago
• jack57lee / Diversify-MHA
  EMNLP 2018: Multi-Head Attention with Disagreement Regularization; NAACL 2019: Information Aggregation for Multi-Head Attention with Rout…
  ☆21Updated 4 years ago
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆63Updated 3 years ago
• 10-zin / Synthesizer
  A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"
  ☆73Updated 2 years ago
• lancopku / Prime
  A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.
  ☆85Updated last year
• princeton-nlp / CoFiPruning
  [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
  ☆195Updated 2 years ago
• KrisKorrel / sparsemax-pytorch
  Implementation of Sparsemax activation in Pytorch
  ☆160Updated 5 years ago
• prajjwal1 / adaptive_transformer
  Code for the paper "Adaptive Transformers for Learning Multimodal Representations" (ACL SRW 2020)
  ☆43Updated 2 years ago
• ChengyueGongR / advsoft
  Language Model Baselines for PyTorch
  ☆42Updated 4 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆151Updated last year