Alternatives and similar repositories for lightning-language-modeling

Users that are interested in lightning-language-modeling are comparing it to the libraries listed below

• yueyu1030 / COSINE
  [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…
  ☆203Updated 2 years ago
• Guzpenha / transformer_rankers
  A library to conduct ranking experiments with transformers.
  ☆160Updated 2 years ago
• uds-lsv / bert-stable-fine-tuning
  On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
  ☆136Updated last year
• lucidrains / electra-pytorch
  A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch
  ☆227Updated 2 years ago
• timoschick / dino
  This repository contains the code for "Generating Datasets with Pretrained Language Models".
  ☆188Updated 3 years ago
• richarddwang / electra_pytorch
  Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
  ☆330Updated last year
• FreddeFrallan / Contrastive-Tension
  State of the art Semantic Sentence Embeddings
  ☆99Updated 3 years ago
• helboukkouri / character-bert
  Main repository for "CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters"
  ☆202Updated last year
• BramVanroy / bert-for-inference
  A small repo showing how to easily use BERT (or other transformers) for inference
  ☆99Updated 5 years ago
• sobamchan / pytorch-lightning-transformers
  Fine-tune transformers with pytorch-lightning
  ☆44Updated 3 years ago
• rrmenon10 / ADAPET
  [EMNLP 2021] Improving and Simplifying Pattern Exploiting Training
  ☆154Updated 3 years ago
• ricardorei / lightning-text-classification
  Minimalist implementation of a BERT Sentence Classifier with PyTorch Lightning, Transformers and PyTorch-NLP.
  ☆218Updated 2 years ago
• microsoft / xtreme-distil-transformers
  XtremeDistil framework for distilling/compressing massive multilingual neural network models to tiny and efficient models for AI at scale
  ☆155Updated last year
• microsoft / ASTRA
  Self-training with Weak Supervision (NAACL 2021)
  ☆160Updated last year
• elephantmipt / bert-distillation
  Distillation of BERT model with catalyst framework
  ☆78Updated 2 years ago
• lucidrains / marge-pytorch
  Implementation of Marge, Pre-training via Paraphrasing, in Pytorch
  ☆76Updated 4 years ago
• nreimers / flax-sentence-embeddings
  Shared code for training sentence embeddings with Flax / JAX
  ☆27Updated 4 years ago
• DFKI-NLP / thermostat
  Collection of NLP model explanations and accompanying analysis tools
  ☆144Updated 2 years ago
• georgian-io / Transformers-Domain-Adaptation
  [DEPRECATED] Adapt Transformer-based language models to new text domains
  ☆87Updated last year
• allenai / tpu_pretrain
  LM Pretraining with PyTorch/TPU
  ☆134Updated 5 years ago
• facebookresearch / SentAugment
  SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in c…
  ☆361Updated 3 years ago
• lucidrains / charformer-pytorch
  Implementation of the GBST block from the Charformer paper, in Pytorch
  ☆117Updated 4 years ago
• infinitylogesh / mutate
  A library to synthesize text datasets using Large Language Models (LLM)
  ☆152Updated 2 years ago
• allenai / allentune
  Hyperparameter Search for AllenNLP
  ☆139Updated 4 months ago
• ofirpress / shortformer
  Code for the Shortformer model, from the ACL 2021 paper by Ofir Press, Noah A. Smith and Mike Lewis.
  ☆147Updated 3 years ago
• studio-ousia / bpr
  Binary Passage Retriever (BPR) - an efficient passage retriever for open-domain question answering
  ☆171Updated 4 years ago
• Kaleidophon / awesome-experimental-standards-deep-learning
  Repository collecting resources and best practices to improve experimental rigour in deep learning research.
  ☆27Updated 2 years ago
• shmsw25 / bart-closed-book-qa
  A BART version of an open-domain QA model in a closed-book setup
  ☆119Updated 4 years ago
• bvanaken / explain-BERT-QA
  Code for the CIKM 2019 Paper: How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations
  ☆32Updated 2 years ago
• jwieting / paraphrastic-representations-at-scale
  ☆75Updated 4 years ago