Alternatives and similar repositories for the-story-of-heads

Users that are interested in the-story-of-heads 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?"
  ☆172Updated 5 years ago
• google-research / adapter-bert
  ☆494Updated last year
• facebookresearch / Mask-Predict
  A masked language modeling objective to train a model to predict any subset of the target words, conditioned on both the input text and a…
  ☆244Updated 3 years ago
• LiyuanLucasLiu / Transformer-Clinic
  Understanding the Difficulty of Training Transformers
  ☆329Updated 3 years ago
• kahne / NonAutoregGenProgress
  Tracking the progress in non-autoregressive generation (translation, transcription, etc.)
  ☆306Updated 2 years ago
• urvashik / knnlm
  ☆322Updated 4 years ago
• gorokoba560 / norm-analysis-of-transformer
  ☆85Updated last year
• asappresearch / revisit-bert-finetuning
  For the code release of our arXiv paper "Revisiting Few-sample BERT Fine-tuning" (https://arxiv.org/abs/2006.05987).
  ☆184Updated 2 years ago
• IntelLabs / academic-budget-bert
  Repository containing code for "How to Train BERT with an Academic Budget" paper
  ☆313Updated last year
• ari-holtzman / degen
  Official Repository for "The Curious Case of Neural Text Degeneration"
  ☆164Updated 2 years ago
• allenai / acl2022-zerofewshot-tutorial
  ☆292Updated 2 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…
  ☆140Updated 3 years ago
• successar / AttentionExplanation
  ☆315Updated 3 years ago
• richarddwang / electra_pytorch
  Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
  ☆330Updated last year
• shentianxiao / text-autoencoders
  ☆208Updated last year
• ChunyuanLI / Optimus
  Optimus: the first large-scale pre-trained VAE language model
  ☆389Updated last year
• jayded / eraserbenchmark
  A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/
  ☆96Updated 2 years ago
• facebookresearch / unlikelihood_training
  Neural Text Generation with Unlikelihood Training
  ☆309Updated 3 years ago
• castorini / DeeBERT
  DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
  ☆157Updated 3 years ago
• princeton-nlp / CoFiPruning
  [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
  ☆196Updated 2 years ago
• clarkkev / attention-analysis
  ☆467Updated 4 years ago
• facebookresearch / anli
  Adversarial Natural Language Inference Benchmark
  ☆397Updated 3 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
• yaushian / Tree-Transformer
  Implementation of the paper Tree Transformer
  ☆214Updated 5 years ago
• tnq177 / transformers_without_tears
  Transformers without Tears: Improving the Normalization of Self-Attention
  ☆132Updated last year
• dreamgonfly / BERT-pytorch
  PyTorch implementation of BERT in "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"
  ☆107Updated 6 years ago
• facebookresearch / MetaICL
  An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi
  ☆269Updated 2 years ago
• bzhangGo / zero
  Zero -- A neural machine translation system
  ☆152Updated 2 years ago
• cindyxinyiwang / deep-latent-sequence-model
  Pytorch implementation of "A Probabilistic Formulation of Unsupervised Text Style Transfer" by He. et. al. at ICLR 2020
  ☆163Updated 2 years ago
• neulab / ExplainaBoard
  Interpretable Evaluation for AI Systems
  ☆366Updated 2 years ago