Transformers🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Stars: ✭ 55,742 (+86996.88%)
Awesome Bert NlpA curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
Stars: ✭ 567 (+785.94%)
Multimodal ToolkitMultimodal model for text and tabular data with HuggingFace transformers as building block for text data
Stars: ✭ 78 (+21.88%)
Pytorch Openai Transformer Lm🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
Stars: ✭ 1,268 (+1881.25%)
Textaugmentation Gpt2Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.
Stars: ✭ 104 (+62.5%)
Transformers.jlJulia Implementation of Transformer models
Stars: ✭ 173 (+170.31%)
Bert Sklearna sklearn wrapper for Google's BERT model
Stars: ✭ 182 (+184.38%)
BertvizTool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
Stars: ✭ 3,443 (+5279.69%)
LanguagetoysRandom fun with statistical language models.
Stars: ✭ 63 (-1.56%)
Pqg PytorchParaphrase Generation model using pair-wise discriminator loss
Stars: ✭ 33 (-48.44%)
Dl Nlp ReadingsMy Reading Lists of Deep Learning and Natural Language Processing
Stars: ✭ 656 (+925%)
Nlp TutorialNatural Language Processing Tutorial for Deep Learning Researchers
Stars: ✭ 9,895 (+15360.94%)
TupeTransformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.
Stars: ✭ 143 (+123.44%)
Chars2vecCharacter-based word embeddings model based on RNN for handling real world texts
Stars: ✭ 130 (+103.13%)
Hardware Aware Transformers[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Stars: ✭ 206 (+221.88%)
Easy BertA Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)
Stars: ✭ 106 (+65.63%)
NndialNNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Stars: ✭ 332 (+418.75%)
Neural spEnd-to-end ASR/LM implementation with PyTorch
Stars: ✭ 408 (+537.5%)
Tokenizers💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Stars: ✭ 5,077 (+7832.81%)
Bert PytorchGoogle AI 2018 BERT pytorch implementation
Stars: ✭ 4,642 (+7153.13%)
RnnlgRNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Stars: ✭ 487 (+660.94%)
PplmPlug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
Stars: ✭ 674 (+953.13%)
Nlg EvalEvaluation code for various unsupervised automated metrics for Natural Language Generation.
Stars: ✭ 822 (+1184.38%)
Spacy Transformers🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Stars: ✭ 919 (+1335.94%)
Relational Rnn PytorchAn implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.
Stars: ✭ 236 (+268.75%)
Gpt ScrollsA collaborative collection of open-source safe GPT-3 prompts that work well
Stars: ✭ 195 (+204.69%)
Greek BertA Greek edition of BERT pre-trained language model
Stars: ✭ 84 (+31.25%)
FNet-pytorchUnofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
Stars: ✭ 204 (+218.75%)
NonautoreggenprogressTracking the progress in non-autoregressive generation (translation, transcription, etc.)
Stars: ✭ 118 (+84.38%)
Lingopackage lingo provides the data structures and algorithms required for natural language processing
Stars: ✭ 113 (+76.56%)
LazynlpLibrary to scrape and clean web pages to create massive datasets.
Stars: ✭ 1,985 (+3001.56%)
SpagoSelf-contained Machine Learning and Natural Language Processing library in Go
Stars: ✭ 854 (+1234.38%)
Nlg RlAccelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction
Stars: ✭ 59 (-7.81%)
Attention MechanismsImplementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Stars: ✭ 203 (+217.19%)
Gluon NlpNLP made easy
Stars: ✭ 2,344 (+3562.5%)
InsightRepository for Project Insight: NLP as a Service
Stars: ✭ 246 (+284.38%)
Practical PytorchGo to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Stars: ✭ 4,329 (+6664.06%)
TrankitTrankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
Stars: ✭ 311 (+385.94%)
BluebertBlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
Stars: ✭ 273 (+326.56%)
MinTLMinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
Stars: ✭ 61 (-4.69%)
LudwigData-centric declarative deep learning framework
Stars: ✭ 8,018 (+12428.13%)
Gpt2 FrenchGPT-2 French demo | Démo française de GPT-2
Stars: ✭ 47 (-26.56%)
TnerLanguage model finetuning on NER with an easy interface, and cross-domain evaluation. We released NER models finetuned on various domain via huggingface model hub.
Stars: ✭ 54 (-15.62%)
Char Rnn TensorflowMulti-layer Recurrent Neural Networks for character-level language models implements by TensorFlow
Stars: ✭ 58 (-9.37%)
Emotion DetectorA python code to detect emotions from text
Stars: ✭ 54 (-15.62%)
ScdvText classification with Sparse Composite Document Vectors.
Stars: ✭ 54 (-15.62%)
Teapot NlpTool for Evaluating Adversarial Perturbations on Text
Stars: ✭ 58 (-9.37%)
Jieba Php"結巴"中文分詞:做最好的 PHP 中文分詞、中文斷詞組件。 / "Jieba" (Chinese for "to stutter") Chinese text segmentation: built to be the best PHP Chinese word segmentation module.
Stars: ✭ 1,073 (+1576.56%)
Asr Stars: ✭ 54 (-15.62%)
Comet A Neural Framework for MT Evaluation
Stars: ✭ 58 (-9.37%)