This pandect (πανδέκτης is Ancient Greek for encyclopedia) was created to help you find almost anything related to Natural Language Processing that is available online.
- The NLP Index by Quantum Stat / NLP Cypher
- Awesome NLP by keon [GitHub, 12112 stars]
- Speech and Natural Language Processing Awesome List by elaboshira [GitHub, 2024 stars]
- Awesome Deep Learning for Natural Language Processing (NLP) [GitHub, 939 stars]
- Text Mining and Natural Language Processing Resources by stepthom [GitHub, 388 stars]
- Made with ML List by madewithml.com
- Brainsources for #NLP enthusiasts by Philip Vollet
- Awesome AI/ML/DL - NLP Section [GitHub, 908 stars]
- Resources on various machine learning topics by Backprop
- 100 Must-Read NLP Papers 100 Must-Read NLP Papers [GitHub, 3139 stars]
- NLP Paper Summaries by dair-ai [GitHub, 1348 stars]
- Curated collection of papers for the NLP practitioner [GitHub, 1045 stars]
- Papers on Textual Adversarial Attack and Defense [GitHub, 883 stars]
- The Most Influential NLP Research of 2019
- Recent Deep Learning papers in NLU and RL by Valentin Malykh [GitHub, 287 stars]
- Some Notable Recent ML Papers and Future Trends by Aran Komatsuzaki [Blog, Oct. 2020]
- A Survey of Surveys (NLP & ML): Collection of NLP Survey Papers [GitHub, 1296 stars]
- A Paper List for Style Transfer in Text [GitHub, 1162 stars]
- Video recordings index for papers
- NLP top 10 conferences Compendium by soulbliss [GitHub, 371 stars]
- NLP Conferences Calendar
- ICLR 2020 Trends
- SpacyIRL 2019 Conference in Overview
- Paper Digest - Conferences and Papers in Overview
- Video Recordings from Conferences
- NLP Progress by sebastianruder [GitHub, 18736 stars]
- NLP Tasks by Kyubyong [GitHub, 2916 stars]
- Reading list for Awesome Sentiment Analysis papers by declare-lab [GitHub, 357 stars]
- Awesome Sentiment Analysis by xiamx [GitHub, 841 stars]
- NLP Datasets by niderhoff [GitHub, 4722 stars]
- Datasets by Huggingface [GitHub, 8556 stars]
- Big Bad NLP Database
- 25 Best Parallel Text Datasets for Machine Translation Training
- UWA Unambiguous Word Annotations - Word Sense Disambiguation Dataset
- 20 Best German Language Datasets for Machine Learning
- Awesome Embedding Models by Hironsan [GitHub, 1454 stars]
- Awesome list of Sentence Embeddings by Separius [GitHub, 1886 stars]
- Awesome BERT by Jiakui [GitHub, 1681 stars]
- The Super Duper NLP Repo [Website, 2020]
- NLP Resources for Bahasa Indonesian [GitHub, 188 stars]
- Indic NLP Catalog [GitHub, 267 stars]
- Pre-trained language models for Vietnamese [GitHub, 377 stars]
- Natural Language Toolkit for Indic Languages (iNLTK) [GitHub, 719 stars]
- Indic NLP Library [GitHub, 366 stars]
- AI4Bharat-IndicNLP Portal
- ARBML - Implementation of many Arabic NLP and ML projects [GitHub, 181 stars]
- zemberek-nlp - NLP tools for Turkish [GitHub, 935 stars]
- KLUE - Korean Language Understanding Evaluation [GitHub, 271 stars]
- List of pre-trained NLP models [GitHub, 133 stars]
- History of Natural Language Processing
- A Review of the Neural History of Natural Language Processing [Blog, October 2018]
- Natural Language Processing in 2020: The Year In Review [Blog, December 2020]
- ML and NLP Research Highlights of 2020 [Blog, January 2021]
- NLP Highlights [Years: 2017 - now, Status: active]
- TWIML AI [Years: 2016 - now, Status: active]
- Practical AI [Years: 2018 - now, Status: active]
- The Data Exchange [Years: 2019 - now, Status: active]
- Gradient Dissent [Years: 2020 - now, Status: active]
- Machine Learning Street Talk [Years: 2020 - now, Status: active]
- The Super Data Science Podcast [Years: 2016 - now, Status: active]
- Data Hack Radio [Years: 2018 - now, Status: active]
- AI Game Changers [Years: 2020 - now, Status: active]
- The Analytics Show [Years: 2019 - now, Status: active]
- NLP News by Sebastian Ruder
- dair.ai Newsletter by dair.ai
- This Week in NLP by Robert Dale
- Papers with Code
- The Batch by deeplearning.ai
- Paper Digest by PaperDigest
- NLP Cypher by QuantumStat
- NLP Zurich [YouTube Recordings]
- NY-NLP (New York)
- Online NLP Meetup
- Hacking-Machine-Learning [YouTube Recordings]
- Yannic Kilcher
- HuggingFace
- Kaggle Reading Group
- Rasa Paper Reading
- Stanford CS224N: NLP with Deep Learning
- NLPxing
- ML Explained - A.I. Socratic Circles - AISC
- Deeplearning.ai
- Machine Learning Street Talk
- GLUE - General Language Understanding Evaluation (GLUE) benchmark
- SuperGLUE - benchmark styled after GLUE with a new set of more difficult language understanding tasks
- decaNLP - The Natural Language Decathlon (decaNLP) for studying general NLP models
- RACE - ReAding Comprehension dataset collected from English Examinations
- dialoglue - DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue
- DynaBench - Dynabench is a research platform for dynamic data collection and benchmarking
- WikiAsp - WikiAsp: Multi-document aspect-based summarization Dataset
- SQuAD - Stanford Question Answering Dataset (SQuAD)
- XQuad - XQuAD (Cross-lingual Question Answering Dataset) for cross-lingual question answering
- GrailQA - Strongly Generalizable Question Answering (GrailQA)
- CSQA - Complex Sequential Question Answering
- XTREME - Massively Multilingual Multi-task Benchmark
- GLUECoS - A benchmark for code-switched NLP
- IndoNLU Benchmark - collection of resources for training, evaluating, and analyzing NLP for Bahasa Indonesia
- IndicGLUE - Natural Language Understanding Benchmark for Indic Languages
- LinCE - Linguistic Code-Switching Evaluation Benchmark
- Russian SuperGlue - Russian SuperGlue Benchmark
- BLURB - Biomedical Language Understanding and Reasoning Benchmark
- BLUE - Biomedical Language Understanding Evaluation benchmark
- Long-Range Arena - Long Range Arena for Benchmarking Efficient Transformers (Pre-print) [GitHub, 301 stars]
- SUPERB - Speech processing Universal PERformance Benchmark
- CodeXGLUE - A benchmark dataset for code intelligence
- CrossNER - CrossNER: Evaluating Cross-Domain Named Entity Recognition
- MultiNLI - Multi-Genre Natural Language Inference corpus
- A Recipe for Training Neural Networks by Andrej Karpathy [Keywords: research, training, 2019]
- Pre-trained ELMo Representations for Many Languages [GitHub, 1337 stars]
- sense2vec - Contextually-keyed word vectors [GitHub, 1261 stars]
- wikipedia2vec [GitHub, 703 stars]
- StarSpace [GitHub, 3627 stars]
- fastText [GitHub, 22749 stars]
- Language Models and Contextualised Word Embeddings by David S. Batista [Blog, 2018]
- An Essential Guide to Pretrained Word Embeddings for NLP Practitioners by AnalyticsVidhya [Blog, 2020]
- Polyglot Word Embeddings Discover Language Clusters [Blog, 2020]
- The Illustrated Word2vec by Jay Alammar [Blog, 2019]
- vecmap - VecMap (cross-lingual word embedding mappings) [GitHub, 553 stars]
- sentence-transformers - Multilingual Sentence & Image Embeddings with BERT [GitHub, 5498 stars]
- bpemb - Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE) [GitHub, 969 stars]
- subword-nmt - Unsupervised Word Segmentation for Neural Machine Translation and Text Generation [GitHub, 1735 stars]
- python-bpe - Byte Pair Encoding for Python [GitHub, 147 stars]
- The Transformer Family by Lilian Weng [Blog, 2020]
- Keeping up with the BERTs: a review of the main NLP benchmarks by Manuel Tonneau [Blog, 2020]
- Playing the lottery with rewards and multiple languages - about the effect of random initialization [ICLR 2020 Paper]
- Attention? Attention! by Lilian Weng [Blog, 2018]
- the transformer … “explained”? [Blog, 2019]
- Attention is all you need; Attentional Neural Network Models by Łukasz Kaiser [Talk, 2017]
- Understanding and Applying Self-Attention for NLP [Talk, 2018]
- The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures [Paper, April 2021]
- Pre-Trained Models: Past, Present and Future [Paper, June 2021]
- A Survey of Transformers [Paper, June 2021]
- The Annotated Transformer by Harvard NLP [Blog, 2018]
- The Illustrated Transformer by Jay Alammar [Blog, 2018]
- Illustrated Guide to Transformers by Hong Jing [Blog, 2020]
- Sequential Transformer with Adaptive Attention Span by Facebook. Blog [Blog, 2019]
- Evolution of Representations in the Transformer by Lena Voita [Blog, 2019]
- Reformer: The Efficient Transformer [Blog, 2020]
- Longformer — The Long-Document Transformer by Viktor Karlsson [Blog, 2020]
- TRANSFORMERS FROM SCRATCH [Blog, 2019]
- Universal Transformers by Mostafa Dehghani [Blog, 2019]
- Transformers in Natural Language Processing — A Brief Survey by George Ho [Blog, May 2020]
- Lite Transformer - Lite Transformer with Long-Short Range Attention [GitHub, 440 stars]
- A Visual Guide to Using BERT for the First Time by Jay Alammar [Blog, 2019]
- The Dark Secrets of BERT by Anna Rogers [Blog, 2020]
- Understanding searches better than ever before [Blog, 2019]
- Demystifying BERT: A Comprehensive Guide to the Groundbreaking NLP Framework [Blog, 2019]
- SemBERT - Semantics-aware BERT for Language Understanding [GitHub, 223 stars]
- BERTweet - BERTweet: A pre-trained language model for English Tweets [GitHub, 340 stars]
- Optimal Subarchitecture Extraction for BERT [GitHub, 431 stars]
- CharacterBERT: Reconciling ELMo and BERT [GitHub, 113 stars]
- When BERT Plays The Lottery, All Tickets Are Winning [Blog, Dec 2020]
- T5 Understanding Transformer-Based Self-Supervised Architectures [Blog, August 2020]
- T5: the Text-To-Text Transfer Transformer [Blog, 2020]
- multilingual-t5 - Multilingual T5 (mT5) is a massively multilingual pretrained text-to-text transformer model [GitHub, 676 stars]
- Big Bird: Transformers for Longer Sequences original paper by Google Research [Paper, July 2020]
- Reformer: The Efficient Transformer - [Paper, February 2020] [Video, October 2020]
- Longformer: The Long-Document Transformer - [Paper, April 2020] [Video, April 2020]
- Linformer: Self-Attention with Linear Complexity - [Paper, June 2020] [Video, June 2020]
- Rethinking Attention with Performers - [Paper, September 2020] [Video, September 2020]
- performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch [GitHub, 646 stars]
- Switch Transformers: Scaling to Trillion Parameter Models original paper by Google Research [Paper, January 2021]
- The Illustrated GPT-2 by Jay Alammar [Blog, 2019]
- The Annotated GPT-2 by Aman Arora
- OpenAI’s GPT-2: the model, the hype, and the controversy by Ryan Lowe [Blog, 2019]
- How to generate text by Patrick von Platen [Blog, 2020]
- Zero Shot Learning for Text Classification by Amit Chaudhary [Blog, 2020]
- GPT-3 A Brief Summary by Leo Gao [Blog, 2020]
- GPT-3, a Giant Step for Deep Learning And NLP by Yoel Zeldes [Blog, June 2020]
- GPT-3 Language Model: A Technical Overview by Chuan Li [Blog, June 2020]
- Is it possible for language models to achieve language understanding? by Christopher Potts
- Aweseome GPT-3 - list of all resources related to GPT-3 [GitHub, 3219 stars]
- GPT-3 Projects - a map of all GPT-3 start-ups and commercial projects
- GPT-3 Demo Showcase - GPT-3 Demo Showcase, 180+ Apps, Examples, & Resources
- OpenAI API - API Demo to use GPT-3 for commercial applications
- GPT-Neo - in-progress GPT-3 open source replication HuggingFace Hub
- GPT-J - A 6 billion parameter, autoregressive text generation model trained on The Pile
- Effectively using GPT-J with few-shot learning [Blog, July 2021]
- What is Two-Stream Self-Attention in XLNet by Xu LIANG [Blog, 2019]
- Visual Paper Summary: ALBERT (A Lite BERT) by Amit Chaudhary [Blog, 2020]
- Turing NLG by Microsoft
- Multi-Label Text Classification with XLNet by Josh Xin Jie Lee [Blog, 2019]
- ELECTRA [GitHub, 1827 stars]
- Performer implementation of Performer, a linear attention-based transformer, in Pytorch [GitHub, 646 stars]
- Distilling knowledge from Neural Networks to build smaller and faster models by FloydHub [Blog, 2019]
- David over Goliath: towards smaller models for cheaper, faster, and greener NLP by Manuel Tonneau [Blog, 2020]
- Compression of Deep Learning Models for Text: A Survey (+Overview of Approaches) [Paper, April 2021]
- PEGASUS: A State-of-the-Art Model for Abstractive Text Summarization by Google AI [Blog, June 2020]
- CTRLsum - CTRLsum: Towards Generic Controllable Text Summarization [GitHub, 62 stars]
- XL-Sum - XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages [GitHub, 92 stars]
- LemmInflect - A python module for English lemmatization and inflection
- In Search of Best Practices for NLP Projects [Slides, Dec. 2020]
- EMNLP 2020: High Performance Natural Language Processing by Google Research [Slides, Recording, Nov. 2020]
- Practical Natural Language Processing - A Comprehensive Guide to Building Real-World NLP Systems [Book, June 2020]
- How to Structure and Manage NLP Projects [Blog, May 2021]
- Applied NLP Thinking - Applied NLP Thinking: How to Translate Problems into Solutions [Blog, June 2021]
- Why BERT Fails in Commercial Environments by Intel AI [Blog, 2020]
- Fine Tuning BERT for Text Classification with FARM by Sebastian Guggisberg [Blog, 2020]
- Pretrain Transformers Models in PyTorch using Hugging Face Transformers [GitHub, 97 stars]
- Practical NLP for the Real World [Presentation, 2019]
- From Paper to Product – How we implemented BERT by Christoph Henkelmann [Talk, 2020]
- Parallelformers: An Efficient Model Parallelization Toolkit for Deployment [GitHub, 208 stars]
- embedding-as-service [GitHub, 156 stars]
- Bert-as-service [GitHub, 9384 stars]
- NLP Recipes by microsoft [GitHub, 5590 stars]
- NLP with Python by susanli2016 [GitHub, 2064 stars]
- Basic Utilities for PyTorch NLP by PetrochukM [GitHub, 1929 stars]
- Blackstone - A spaCy pipeline and model for NLP on unstructured legal text [GitHub, 492 stars]
- Sci spaCy - spaCy pipeline and models for scientific/biomedical documents [GitHub, 954 stars]
- FinBERT: Pre-Trained on SEC Filings for Financial NLP Tasks [GitHub, 147 stars]
- LexNLP - Information retrieval and extraction for real, unstructured legal text [GitHub, 458 stars]
- NerDL and NerCRF - Tutorial on Named Entity Recognition for Healthcare with SparkNLP
- Legal Text Analytics - A list of selected resources dedicated to Legal Text Analytics [GitHub, 294 stars]
- BioIE - A curated list of resources relevant to doing Biomedical Information Extraction [GitHub, 155 stars]
- WildNLP - Corrupt an input text to test NLP models' robustness [GitHub, 65 stars]
- Great Expectations - Write tests for your data [GitHub, 4653 stars]
- CheckList - Beyond Accuracy: Behavioral Testing of NLP models [GitHub, 1414 stars]
- TextAttack - framework for adversarial attacks, data augmentation, and model training in NLP [GitHub, 1538 stars]
- End2End Serverless Transformers On AWS Lambda [GitHub, 60 stars]
- NLP-Service - sample demo of NLP as a service platform built using FastAPI and Hugging Face [GitHub, 10 stars]
- wav2letter - Automatic Speech Recognition Toolkit [GitHub, 5798 stars]
- DeepSpeech - Baidu's DeepSpeech architecture [GitHub, 17664 stars]
- Acoustic Word Embeddings by Maria Obedkova [Blog, 2020]
- kaldi - Kaldi is a toolkit for speech recognition [GitHub, 10595 stars]
- awesome-kaldi - resources for using Kaldi [GitHub, 429 stars]
- ESPnet - End-to-End Speech Processing Toolkit [GitHub, 3918 stars]
- HuBERT - Self-supervised representation learning for speech recognition, generation, and compression [Blog, June 2021]
- FastSpeech - The Implementation of FastSpeech based on pytorch [GitHub, 630 stars]
- TTS - a deep learning toolkit for Text-to-Speech [GitHub, 1883 stars]
- Topic Modelling with PySpark and Spark NLP by Maria Obedkova [Spark, Blog, 2020]
- Top2Vec [GitHub, 1176 stars]
- Anchored Correlation Explanation Topic Modeling [GitHub, 273 stars]
- Topic Modeling in Embedding Spaces [GitHub, 352 stars] Paper
- TopicNet - A high-level interface for BigARTM library [GitHub, 108 stars]
- BERTopic - Leveraging BERT and a class-based TF-IDF to create easily interpretable topics [GitHub, 1227 stars]
- OCTIS - A python package to optimize and evaluate topic models [GitHub, 196 stars]
- Contextualized Topic Models [GitHub, 475 stars]
- PyTextRank - PyTextRank is a Python implementation of TextRank as a spaCy pipeline extension [GitHub, 1565 stars]
- textrank - TextRank implementation for Python 3 [GitHub, 1037 stars]
- rake-nltk - Rapid Automatic Keyword Extraction algorithm using NLTK [GitHub, 831 stars]
- yake - Single-document unsupervised keyword extraction [GitHub, 704 stars]
- RAKE-tutorial - A python implementation of the Rapid Automatic Keyword Extraction [GitHub, 352 stars]
- rake-nltk - Rapid Automatic Keyword Extraction algorithm using NLTK [GitHub, 831 stars]
- flashtext - Extract Keywords from sentence or Replace keywords in sentences [GitHub, 4837 stars]
- BERT-Keyword-Extractor - Deep Keyphrase Extraction using BERT [GitHub, 190 stars]
- keyBERT - Minimal keyword extraction with BERT [GitHub, 683 stars]
- Adding a custom tokenizer to spaCy and extracting keywords from Chinese texts by Haowen Jiang [Blog, Feb 2021]
- How to Extract Relevant Keywords with KeyBERT [Blog, June 2021]
- Language Interpretability Tool (LIT) [GitHub, 2589 stars]
- WhatLies - Toolkit to help visualise - what lies in word embeddings [GitHub, 274 stars]
- Interpret-Text - Interpretability techniques and visualization dashboards for NLP models [GitHub, 257 stars]
- InterpretML - Fit interpretable models. Explain blackbox machine learning [GitHub, 3924 stars]
- ecco - Tools to visuals and explore NLP language models [GitHub, 815 stars]
- NLP Profiler - A simple NLP library allows profiling datasets with text columns [GitHub, 196 stars]
- transformers-interpret - Model explainability that works seamlessly with transformers [GitHub, 405 stars]
- Awesome-explainable-AI - collection of research materials on explainable AI/ML [GitHub, 316 stars]
- Bias in Natural Language Processing @EMNLP 2020 [Blog, Nov 2020]
- Machine Learning as a Software Engineering Enterprise - NeurIPS 2020 Keynote [Presentation, Dec 2020]
- Computational Ethics for NLP - course resources from the Carnegie Mellon University [Lecture Notes, Spring 2020]
- Ethics in NLP - resources from ACLs Ethics in NLP track
- The Institute for Ethical AI & Machine Learning
- Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models [Paper, Feb 2021]
- Privacy Considerations in Large Language Models [Blog, Dec 2020]
- DeepWordBug - Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers [GitHub, 48 stars]
- spaCy by Explosion AI [GitHub, 20858 stars]
- flair by Zalando [GitHub, 10550 stars]
- AllenNLP by AI2 [GitHub, 10311 stars]
- stanza (former Stanford NLP) [GitHub, 5508 stars]
- spaCy stanza [GitHub, 540 stars]
- nltk [GitHub, 9978 stars]
- gensim - framework for topic modeling [GitHub, 12224 stars]
- pororo - Platform of neural models for natural language processing [GitHub, 941 stars]
- NLP Architect - A Deep Learning NLP/NLU library by Intel® AI Lab [GitHub, 2697 stars]
- FARM [GitHub, 1263 stars]
- gobbli by RTI International [GitHub, 256 stars]
- headliner - training and deployment of seq2seq models [GitHub, 229 stars]
- SyferText - A privacy preserving NLP framework [GitHub, 178 stars]
- DeText - Text Understanding Framework for Ranking and Classification Tasks [GitHub, 1135 stars]
- TextHero - Text preprocessing, representation and visualization [GitHub, 2239 stars]
- textblob - TextBlob: Simplified Text Processing [GitHub, 7725 stars]
- AdaptNLP - A high level framework and library for NLP [GitHub, 326 stars]
- textacy - NLP, before and after spaCy [GitHub, 1703 stars]
- texar - Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow [GitHub, 2177 stars]
- jiant - jiant is an NLP toolkit [GitHub, 1282 stars]
- WildNLP Text manipulation library to test NLP models [GitHub, 65 stars]
- snorkel Framework to generate training data [GitHub, 4692 stars]
- NLPAug Data augmentation for NLP [GitHub, 2193 stars]
- SentAugment Data augmentation by retrieving similar sentences from larger datasets [GitHub, 323 stars]
- faker - Python package that generates fake data for you [GitHub, 12753 stars]
- textflint - Unified Multilingual Robustness Evaluation Toolkit for NLP [GitHub, 470 stars]
- Parrot - Practical and feature-rich paraphrasing framework [GitHub, 244 stars]
- AugLy - data augmentations library for audio, image, text, and video [GitHub, 3600 stars]
- A Survey of Data Augmentation Approaches for NLP [Paper, May 2021]
- TextAttack - framework for adversarial attacks, data augmentation, and model training in NLP [GitHub, 1538 stars]
- CleverHans - adversarial example library for constructing NLP attacks and building defenses [GitHub, 5184 stars]
- textblob-de - TextBlob: Simplified Text Processing for German [GitHub, 86 stars]
- Kashgari Transfer Learning with focus on Chinese [GitHub, 2141 stars]
- Underthesea - Vietnamese NLP Toolkit [GitHub, 863 stars]
- transformers by HuggingFace [GitHub, 48261 stars]
- Adapter Hub and its documentation - Adapter modules for Transformers [GitHub, 470 stars]
- haystack - Transformers at scale for question answering & neural search. [GitHub, 2067 stars]
- DeepPavlov by MIPT [GitHub, 5287 stars]
- ParlAI by FAIR [GitHub, 7300 stars]
- rasa - Framework for Conversational Agents [GitHub, 11670 stars]
- wav2letter - Automatic Speech Recognition Toolkit [GitHub, 5798 stars]
- ChatterBot - conversational dialog engine for creating chat bots [GitHub, 11280 stars]
- MUSE A library for Multilingual Unsupervised or Supervised word Embeddings [GitHub, 2812 stars]
- vecmap A framework to learn cross-lingual word embedding mappings [GitHub, 553 stars]
- sentence-transformers - Multilingual Sentence & Image Embeddings with BERT [GitHub, 5498 stars]
- Ekphrasis - text processing tool, geared towards text from social networks [GitHub, 479 stars]
- DeepPhonemizer - grapheme to phoneme conversion with deep learning [GitHub, 51 stars]
- polyglot - Multi-lingual NLP Framework [GitHub, 1864 stars]
- trankit - Light-Weight Transformer-based Python Toolkit for Multilingual NLP [GitHub, 488 stars]
- Spark NLP [GitHub, 2234 stars]
- Parallelformers: An Efficient Model Parallelization Toolkit for Deployment [GitHub, 208 stars]
- COMET -A Neural Framework for MT Evaluation [GitHub, 65 stars]
- marian-nmt - Fast Neural Machine Translation in C++ [GitHub, 808 stars]
- argos-translate - Open source neural machine translation in Python [GitHub, 646 stars]
- Opus-MT - Open neural machine translation models and web services [GitHub, 139 stars]
- dl-translate - A deep learning-based translation library built on Huggingface transformers [GitHub, 152 stars]
- PolyFuzz - Fuzzy string matching, grouping, and evaluation [GitHub, 356 stars]
- pyahocorasick - Python module implementing Aho-Corasick algorithm for string matching [GitHub, 619 stars]
- fuzzywuzzy - Fuzzy String Matching in Python [GitHub, 8292 stars]
- jellyfish - approximate and phonetic matching of strings [GitHub, 1489 stars]
- textdistance - Compute distance between sequences [GitHub, 1997 stars]
- DeepMatcher - Compute distance between sequences [GitHub, 347 stars]
- ConvoKit - Cornell Conversational Analysis Toolkit [GitHub, 278 stars]
- scrubadub - Clean personally identifiable information from dirty dirty text [GitHub, 240 stars]
- Learn NLP the practical way [Blog, Nov. 2019]
- Learn NLP the Stanford way (+Part 2) [Blog, Nov 2020]
- Dive into Deep Learning - An interactive deep learning book with code, math, and discussions
- Natural Language Processing and Computational Linguistics - Speech, Morphology and Syntax (Cognitive Science)
- Top NLP Books to Read 2020 - Blog post by Raymong Cheng [Blog, Sep 2020]
- NLP Course | For You - Great and interactive course on NLP
- OpenClass NLP - Natural language processing (NLP) assignments
- Choosing the right course for a Practical NLP Engineer
- 12 Best Natural Language Processing Courses & Tutorials to Learn Online
- nlp-tutorial - A list of NLP(Natural Language Processing) tutorials built on PyTorch [GitHub, 1233 stars]
- nlp-tutorial - Natural Language Processing Tutorial for Deep Learning Researchers [GitHub, 9011 stars]
- Hands-On NLTK Tutorial [GitHub, 437 stars]
- Modern Practical Natural Language Processing [GitHub, 256 stars]
- r/LanguageTechnology - NLP Reddit forum
- tokenizers - Fast State-of-the-Art Tokenizers optimized for Research and Production [GitHub, 4680 stars]
- SentencePiece - Unsupervised text tokenizer for Neural Network-based text generation [GitHub, 5191 stars]
- SoMaJo - A tokenizer and sentence splitter for German and English web and social media texts [GitHub, 91 stars]
- WildNLP Text manipulation library to test NLP models [GitHub, 65 stars]
- snorkel Framework to generate training data [GitHub, 4692 stars]
- NLPAug Data augmentation for NLP [GitHub, 2193 stars]
- SentAugment Data augmentation by retrieving similar sentences from larger datasets [GitHub, 323 stars]
- TextAttack - framework for adversarial attacks, data augmentation, and model training in NLP [GitHub, 1538 stars]
- skweak - software toolkit for weak supervision applied to NLP tasks [GitHub, 310 stars]
- A Visual Survey of Data Augmentation in NLP [Blog, 2020]
- Weak Supervision: A New Programming Paradigm for Machine Learning [Blog, March 2019]
- Datasets for Entity Recognition [GitHub, 970 stars]
- Datasets to train supervised classifiers for Named-Entity Recognition [GitHub, 229 stars]
- Bootleg - Self-Supervision for Named Entity Disambiguation at the Tail [GitHub, 102 stars]
- Few-NERD - Large-scale, fine-grained manually annotated named entity recognition dataset [GitHub, 126 stars]
- tacred-relation TACRED: position-aware attention model for relation extraction [GitHub, 286 stars]
- tacrev TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task [GitHub, 42 stars]
- tac-self-attention Relation extraction with position-aware self-attention [GitHub, 59 stars]
- NeuralCoref 4.0: Coreference Resolution in spaCy with Neural Networks by HuggingFace [GitHub, 2327 stars]
- coref - BERT and SpanBERT for Coreference Resolution [GitHub, 303 stars]
- Neural Adaptation in Natural Language Processing - curated list [GitHub, 161 stars]
- CMU LTI Low Resource NLP Bootcamp 2020 - CMU Language Technologies Institute low resource NLP bootcamp 2020 [GitHub, 492 stars]
- Gramformer - ramework for detecting, highlighting and correcting grammatical errors [GitHub, 588 stars]
- NeuSpell - A Neural Spelling Correction Toolkit [GitHub, 211 stars]
- SymSpellPy - Python port of SymSpell [GitHub, 448 stars]
- Speller100 by Microsoft [Blog, Feb 2021]
- Styleformer - Neural Language Style Transfer framework [GitHub, 189 stars]
- pyahocorasick - Python module implementing Aho-Corasick algorithm for string matching [GitHub, 619 stars]
- LDNOOBW - List of Dirty, Naughty, Obscene, and Otherwise Bad Words [GitHub, 1443 stars]
- nlp-gym - NLPGym - A toolkit to develop RL agents to solve NLP tasks [GitHub, 91 stars]
- AutoNLP - Faster and easier training and deployments of SOTA NLP models [GitHub, 591 stars]
- TPOT - Python Automated Machine Learning tool [GitHub, 8109 stars]
- Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch [GitHub, 1263 stars]
- HungaBunga - Brute-Force all sklearn models with all parameters using .fit .predict [GitHub, 625 stars]
- AutoML Natural Language - Google's paid AutoML NLP service
- keytotext - a model which will take keywords as inputs and generate sentences as outputs [GitHub, 160 stars]
- Controllable Neural Text Generation [Blog, Jan 2021]
License CC0
- All linked resources belong to original authors
- Akropolis by parkjisun from the Noun Project
- Book of Ester by Gilad Sotil from the Noun Project
- quill by Juan Pablo Bravo from the Noun Project
- acting by Flatart from the Noun Project
- olympic by supalerk laipawat from the Noun Project
- aristocracy by Eucalyp from the Noun Project
- Horn by Eucalyp from the Noun Project
- temple by Eucalyp from the Noun Project
- constellation by Eucalyp from the Noun Project
- ancient greek round pattern by Olena Panasovska from the Noun Project
- Harp by Vectors Point from the Noun Project
- Atlas by parkjisun from the Noun Project
- Parthenon by Eucalyp from the Noun Project
- papyrus by IconMark from the Noun Project
- papyrus by Smalllike from the Noun Project
- pegasus by Saeful Muslim from the Noun Project