Alternatives and similar repositories for nlp-notebooks:

Users that are interested in nlp-notebooks are comparing it to the libraries listed below

• makcedward / nlp
  This repository recorded my NLP journey.
  ☆1,077Updated 4 years ago
• adsieg / text_similarity
  Text Similarity
  ☆403Updated 4 years ago
• gaoisbest / NLP-Projects
  word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, …
  ☆536Updated 4 years ago
• kavgan / nlp-in-practice
  Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regr…
  ☆1,156Updated 4 years ago
• kamalkraj / BERT-NER
  Pytorch-Named-Entity-Recognition-with-BERT
  ☆1,221Updated 3 years ago
• omarsar / nlp_overview
  Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
  ☆1,332Updated 4 years ago
• utterworks / fast-bert
  Super easy library for BERT based NLP models
  ☆1,881Updated 6 months ago
• NirantK / NLP_Quickbook
  NLP in Python with Deep Learning
  ☆575Updated last year
• neubig / lowresource-nlp-bootcamp-2020
  The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020
  ☆600Updated 4 years ago
• mathsyouth / awesome-text-summarization
  A curated list of resources dedicated to text summarization
  ☆1,536Updated 2 years ago
• juand-r / entity-recognition-datasets
  A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of lang…
  ☆1,520Updated 2 months ago
• HIT-SCIR / ELMoForManyLangs
  Pre-trained ELMo Representations for Many Languages
  ☆1,462Updated 3 years ago
• soulbliss / NLP-conference-compendium
  Compendium of the resources available from top NLP conferences.
  ☆460Updated 11 months ago
• PrincetonML / SIF
  sentence embedding by Smooth Inverse Frequency weighting scheme
  ☆1,085Updated 5 years ago
• abhimishra91 / transformers-tutorials
  Github repo with tutorials to fine tune transformers for diff NLP tasks
  ☆836Updated 10 months ago
• jasonwei20 / eda_nlp
  Data augmentation for NLP, presented at EMNLP 2019
  ☆1,620Updated last year
• Separius / awesome-sentence-embedding
  A curated list of pretrained sentence and word embedding models
  ☆2,247Updated 3 years ago
• susanli2016 / NLP-with-Python
  Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
  ☆2,762Updated 10 months ago
• scoutbee / pytorch-nlp-notebooks
  Learn how to use PyTorch to solve some common NLP problems with deep learning.
  ☆418Updated 5 years ago
• RandolphVI / Multi-Label-Text-Classification
  About Muti-Label Text Classification Based on Neural Network.
  ☆555Updated 4 years ago
• explosion / spacy-transformers
  🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
  ☆1,362Updated 2 weeks ago
• tomohideshibata / BERT-related-papers
  BERT-related papers
  ☆2,037Updated last year
• mesolitica / NLP-Models-Tensorflow
  Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
  ☆1,786Updated 4 years ago
• roomylee / awesome-relation-extraction
  📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (…
  ☆1,191Updated 3 years ago
• chakki-works / seqeval
  A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
  ☆1,109Updated 5 months ago
• oborchers / Fast_Sentence_Embeddings
  Compute Sentence Embeddings Fast!
  ☆618Updated last year
• kaushaltrivedi / bert-toxic-comments-multilabel
  Multilabel classification for Toxic comments challenge using Bert
  ☆311Updated 5 years ago
• piskvorky / gensim-data
  Data repository for pretrained NLP models and NLP corpora.
  ☆1,001Updated 6 years ago
• AnubhavGupta3377 / Text-Classification-Models-Pytorch
  Implementation of State-of-the-art Text Classification Models in Pytorch
  ☆488Updated 6 years ago
• boudinfl / pke
  Python Keyphrase Extraction module
  ☆1,577Updated last year