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

• FreedomIntelligence / complex-order
  ☆83Updated 5 years ago
• 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
• 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
• asappresearch / flop
  Pytorch library for factorized L0-based pruning.
  ☆45Updated last year
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆61Updated 3 years ago
• twinkle0331 / Xcompression
  [ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)
  ☆21Updated last year
• dguo98 / DiffPruning
  Parameter Efficient Transfer Learning with Diff Pruning
  ☆73Updated 3 years ago
• Noahs-ARK / RFA
  ☆32Updated 3 years ago
• lancopku / Prime
  A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.
  ☆86Updated last year
• msobroza / compositional_code_learning
  Reproduce the results of paper "Compressing Word Embeddings via Deep Compositional Code Learning" accepted ICLR 2018
  ☆23Updated 6 years ago
• yaohungt / TransformerDissection
  [EMNLP'19] Summary for Transformer Understanding
  ☆53Updated 5 years ago
• libeineu / ODE-Transformer
  This is a code repository for the ACL 2022 paper "ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generati…
  ☆29Updated 2 years ago
• androstj / tensor_rnn
  An implementation of various tensor-based decomposition for NN & RNN parameters
  ☆18Updated 6 years ago
• rabeehk / vibert
  Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021
  ☆38Updated 3 years ago
• 10-zin / Synthesizer
  A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"
  ☆72Updated 2 years ago
• wouterkool / stochastic-beam-search
  Implementation of Stochastic Beam Search using Fairseq
  ☆99Updated 5 years ago
• tt-embedding / tt-embeddings
  ☆27Updated 5 years ago
• tencent-ailab / ICML21_OAXE
  ☆27Updated 3 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
• lemmonation / jm-nat
  Code for ACL2020 "Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation"
  ☆39Updated 4 years ago
• gonglinyuan / StackingBERT
  Source code for "Efficient Training of BERT by Progressively Stacking"
  ☆112Updated 5 years ago
• JetRunner / PABEE
  Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".
  ☆64Updated 3 years ago
• KhrulkovV / tt-pytorch
  ☆60Updated 4 years ago
• iedwardwangi / MetaAdapter
  ☆22Updated 3 years ago
• VITA-Group / EarlyBERT
  [ACL-IJCNLP 2021] "EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets" by Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, …
  ☆17Updated 3 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆152Updated last year
• bigganbing / Fairseq_MorphTE
  [NeurIPS 2022]MorphTE: Injecting Morphology in Tensorized Embeddings
  ☆17Updated 2 years ago
• ChengyueGongR / advsoft
  Language Model Baselines for PyTorch
  ☆42Updated 4 years ago