Alternatives and similar repositories for intro-to-nlp-with-pytorch:

Users that are interested in intro-to-nlp-with-pytorch are comparing it to the libraries listed below

• billpku / NLP_In_Action
  Do NLP tasks with some SOTA methods
  ☆92Updated 4 years ago
• mhagiwara / realworldnlp
  Example code for "Real-World Natural Language Processing"
  ☆335Updated 3 years ago
• BrambleXu / nlp-beginner-guide-keras
  NLP model implementations with keras for beginner
  ☆152Updated 2 years ago
• ThilinaRajapakse / pytorch-transformers-classification
  Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classif…
  ☆307Updated 4 years ago
• cezannec / CNN_Text_Classification
  A PyTorch CNN for classifying the sentiment of movie reviews, based on the paper "Convolutional Neural Networks for Sentence Classificati…
  ☆113Updated 5 years ago
• kaushaltrivedi / bert-toxic-comments-multilabel
  Multilabel classification for Toxic comments challenge using Bert
  ☆311Updated 5 years ago
• dipanjanS / nlp_workshop_odsc19
  Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
  ☆38Updated 5 years ago
• kushalj001 / pytorch-question-answering
  Important paper implementations for Question Answering using PyTorch
  ☆273Updated 4 years ago
• aniruddhachoudhury / BERT-Tutorials
  ☆37Updated 4 years ago
• keitakurita / Practical_NLP_in_PyTorch
  A repository containing tutorials for practical NLP using PyTorch
  ☆533Updated 5 years ago
• dair-ai / ml-nlp-paper-discussions
  📄 A repo containing notes and discussions for our weekly NLP/ML paper discussions.
  ☆150Updated 4 years ago
• chambliss / Multilingual_NER
  Applying BERT to named entity recognition in English and Russian.
  ☆162Updated 2 years ago
• abhishekkrthakur / bert-entity-extraction
  ☆125Updated 3 years ago
• nkartik94 / Multi-Label-Text-Classification
  Kaggle Toxic Comments Challenge
  ☆109Updated 6 years ago
• aswalin / SQuAD
  Building QA system for Stanford Question Answering Dataset
  ☆246Updated 6 years ago
• dipanjanS / deep_transfer_learning_nlp_dhs2019
  Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
  ☆82Updated 5 years ago
• PrashantRanjan09 / Elmo-Tutorial
  A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
  ☆154Updated 4 years ago
• ThilinaRajapakse / BERT_binary_text_classification
  Accompanying code for the Medium article
  ☆165Updated 5 years ago
• renatoviolin / Question-Answering-Albert-Electra
  Question Answering using Albert and Electra
  ☆206Updated last year
• bentrevett / pytorch-pos-tagging
  A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
  ☆177Updated 3 years ago
• mxhofer / Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL
  Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"
  ☆178Updated 5 years ago
• prrao87 / tweet-stance-prediction
  Applying NLP transfer learning techniques to predict Tweet stance toward a topic
  ☆107Updated 6 years ago
• adsieg / Multi_Text_Classification
  Multi Text Classificaiton
  ☆92Updated 5 years ago
• neulab / nn4nlp-concepts
  A repository of concepts related to neural networks for NLP
  ☆452Updated 5 years ago
• dipansh-girdhar / Text-classification-for-long-text
  Text Classification using transformer based models
  ☆24Updated 4 years ago
• Shivampanwar / Bert-text-classification
  This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation
  ☆70Updated 4 years ago
• strongio / keras-bert
  A simple technique to integrate BERT from tf hub to keras
  ☆258Updated 2 years ago
• strongio / keras-elmo
  How to use ELMo embeddings in Keras with Tensorflow Hub
  ☆260Updated 6 years ago
• TharinduDR / Simple-Sentence-Similarity
  Exploring the simple sentence similarity measurements using word embeddings
  ☆101Updated 7 months ago
• AndriyMulyar / bert_document_classification
  architectures and pre-trained models for long document classification.
  ☆154Updated 4 years ago