Alternatives and similar repositories for FreeLB:

Users that are interested in FreeLB are comparing it to the libraries listed below

• intersun / PKD-for-BERT-Model-Compression
  pytorch implementation for Patient Knowledge Distillation for BERT Model Compression
  ☆200Updated 5 years ago
• JetRunner / BERT-of-Theseus
  ⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).
  ☆310Updated last year
• Sanyuan-Chen / RecAdam
  Code for the RecAdam paper: Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.
  ☆115Updated 4 years ago
• 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 last year
• LinyangLee / BERT-Attack
  Code for EMNLP2020 long paper: BERT-Attack: Adversarial Attack Against BERT Using BERT
  ☆191Updated 4 years ago
• SanghunYun / UDA_pytorch
  UDA(Unsupervised Data Augmentation) implemented by pytorch
  ☆276Updated 5 years ago
• YujiaBao / Distributional-Signatures
  "Few-shot Text Classification with Distributional Signatures" ICLR 2020
  ☆257Updated 4 years ago
• lonePatient / BERT-SDA
  A PyTorch implementation of "Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation"
  ☆56Updated 4 years ago
• lonePatient / electra_pytorch
  ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
  ☆91Updated 3 years ago
• bohanli / BERT-flow
  TensorFlow implementation of On the Sentence Embeddings from Pre-trained Language Models (EMNLP 2020)
  ☆530Updated 3 years ago
• yumeng5 / LOTClass
  [EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach
  ☆297Updated 3 years ago
• Gorov / DiverseFewShot_Amazon
  ☆121Updated 5 years ago
• ha-lins / MetaLearning4NLP-Papers
  A list of recent papers about Meta / few-shot learning methods applied in NLP areas.
  ☆231Updated 4 years ago
• AsaCooperStickland / Bert-n-Pals
  Pytorch implementation of Bert and Pals: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning (https://arxiv.org/ab…
  ☆82Updated 5 years ago
• autoliuweijie / BERT-whitening-pytorch
  Pytorch version of BERT-whitening
  ☆309Updated 3 years ago
• LividWo / Perturbed-Masking
  Code for ACL 2020 paper "Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT"
  ☆104Updated last year
• coetaur0 / ESIM
  Implementation of the ESIM model for natural language inference with PyTorch
  ☆368Updated 3 years ago
• SALT-NLP / MixText
  MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
  ☆354Updated 4 years ago
• ZhengZixiang / ATPapers
  Worth-reading papers and related resources on attention mechanism, Transformer and pretrained language model (PLM) such as BERT. 值得一读的注意力…
  ☆133Updated 3 years ago
• AtmaHou / FewShotMultiLabel
  Code for AAAI2021 paper: Few-Shot Learning for Multi-label Intent Detection.
  ☆106Updated 2 years ago
• Alibaba-NLP / HiAGM
  Hierarchy-Aware Global Model for Hierarchical Text Classification
  ☆210Updated 2 years ago
• bojone / Pattern-Exploiting-Training
  Pattern-Exploiting Training在中文上的简单实验
  ☆170Updated 4 years ago
• xcfcode / What-I-Have-Read
  Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers
  ☆162Updated 2 years ago
• ShannonAI / dice_loss_for_NLP
  The repo contains the code of the ACL2020 paper `Dice Loss for Data-imbalanced NLP Tasks`
  ☆275Updated last year
• quincyliang / nlp-data-augmentation
  Data Augmentation for NLP. NLP数据增强
  ☆295Updated 4 years ago
• NoviScl / BERT-RACE
  ☆78Updated 2 years ago
• akkarimi / aeda_nlp
  Data augmentation for NLP, accepted at EMNLP 2021 Findings
  ☆105Updated 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
• yongbowin / pytorch-pretrained-BERT_annotation
  bert annotation, input and output for people from scratch, 代码注释, 有每一步的输入和输出, 适合初学者
  ☆93Updated 2 years ago
• cooelf / SemBERT
  Semantics-aware BERT for Language Understanding (AAAI 2020)
  ☆287Updated 2 years ago