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.

Compendiums and awesome lists on the topic of NLP:

• Awesome NLP by keon [GitHub, 11370 stars]
• Speech and Natural Language Processing Awesome List by elaboshira [GitHub, 1999 stars]
• Awesome Deep Learning for Natural Language Processing (NLP) [GitHub, 878 stars]
• Text Mining and Natural Language Processing Resources by stepthom [GitHub, 339 stars]
• Made with ML List by madewithml.com
• Brainsources for #NLP enthusiasts by Philip Vollet
• Awesome AI/ML/DL - NLP Section [GitHub, 794 stars]

NLP Conferences, Paper Summaries and Paper Compendiums:

Papers and Paper Summaries

• 100 Must-Read NLP Papers 100 Must-Read NLP Papers [GitHub, 2978 stars]
• NLP Paper Summaries by dair-ai [GitHub, 1259 stars]
• Curated collection of papers for the NLP practitioner [GitHub, 1004 stars]
• Papers on Textual Adversarial Attack and Defense [GitHub, 733 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]

Conferences

• NLP top 10 conferences Compendium by soulbliss [GitHub, 331 stars]
• NLP Conferences Calendar
• ICLR 2020 Trends
• SpacyIRL 2019 Conference in Overview
• Paper Digest - Conferences and Papers in Overview

NLP Progress and NLP Tasks:

• NLP Progress by sebastianruder [GitHub, 17519 stars]
• NLP Tasks by Kyubyong [GitHub, 2872 stars]
• Reading list for Awesome Sentiment Analysis papers by declare-lab [GitHub, 273 stars]
• Awesome Sentiment Analysis by xiamx [GitHub, 802 stars]

NLP Datasets:

• NLP Datasets by niderhoff [GitHub, 4414 stars]
• Datasets by Huggingface [GitHub, 5942 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

Word and Sentence embeddings:

• Awesome Embedding Models by Hironsan [GitHub, 1419 stars]
• Awesome list of Sentence Embeddings by Separius [GitHub, 1716 stars]
• Awesome BERT by Jiakui [GitHub, 1589 stars]

Notebooks, Scripts and Repositories

• The Super Duper NLP Repo [Website, 2020]

Non-English resources and compendiums

• NLP Resources for Bahasa Indonesian [GitHub, 138 stars]
• Indic NLP Catalog [GitHub, 207 stars]
• Pre-trained language models for Vietnamese [GitHub, 285 stars]
• Natural Language Toolkit for Indic Languages (iNLTK) [GitHub, 686 stars]
• Indic NLP Library [GitHub, 332 stars]
• AI4Bharat-IndicNLP Portal
• ARBML - Implementation of many Arabic NLP and ML projects [GitHub, 157 stars]
• zemberek-nlp - NLP tools for Turkish [GitHub, 880 stars]

Pre-trained NLP models

• List of pre-trained NLP models [GitHub, 114 stars]

NLP Year in Review

2020

• Natural Language Processing in 2020: The Year In Review [Blog, December 2020]
• ML and NLP Research Highlights of 2020 [Blog, January 2021]

NLP-only podcasts

• NLP Highlights [Years: 2017 - now, Status: active]

Many NLP episodes

• 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]

Some NLP episodes

• 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]

• 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

General NLU

• 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

Summarization

• WikiAsp - WikiAsp: Multi-document aspect-based summarization Dataset

Question Answering

• 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

Multilingual and Non-English Benchmarks

• 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

Bio, Law, and other scientific domains

• BLURB - Biomedical Language Understanding and Reasoning Benchmark
• BLUE - Biomedical Language Understanding Evaluation benchmark

Transformer Efficiency

• Long-Range Arena - Long Range Arena for Benchmarking Efficient Transformers (Pre-print) [GitHub, 164 stars]

Other

• CodeXGLUE - A benchmark dataset for code intelligence
• CrossNER - CrossNER: Evaluating Cross-Domain Named Entity Recognition
• MultiNLI - Multi-Genre Natural Language Inference corpus

General

• A Recipe for Training Neural Networks by Andrej Karpathy [Keywords: research, training, 2019]

Embeddings

Repositories

• Pre-trained ELMo Representations for Many Languages [GitHub, 1295 stars]
• sense2vec - Contextually-keyed word vectors [GitHub, 1135 stars]
• wikipedia2vec [GitHub, 617 stars]
• StarSpace [GitHub, 3514 stars]
• fastText [GitHub, 22074 stars]

Blogs

• 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]

Cross-lingual Word Embeddings

• vecmap - VecMap (cross-lingual word embedding mappings) [GitHub, 515 stars]

Byte Pair Encoding

• bpemb - Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE) [GitHub, 862 stars]
• subword-nmt - Unsupervised Word Segmentation for Neural Machine Translation and Text Generation [GitHub, 1592 stars]
• python-bpe - Byte Pair Encoding for Python [GitHub, 136 stars]

Transformer-based Architectures

General

• 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]

Transformer

• 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, 371 stars]

BERT

• 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, 179 stars]
• BERTweet - BERTweet: A pre-trained language model for English Tweets [GitHub, 257 stars]
• Optimal Subarchitecture Extraction for BERT [GitHub, 396 stars]
• CharacterBERT: Reconciling ELMo and BERT [GitHub, 66 stars]

Other Transformer Variants

T5

• 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, 526 stars]

BigBird

• Big Bird: Transformers for Longer Sequences original paper by Google Research [Paper, July 2020]

Reformer / Linformer / Longformer / Performers

• 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, 425 stars]

Switch Transformer

• Switch Transformers: Scaling to Trillion Parameter Models original paper by Google Research [Paper, January 2021]

GPT-family

General

• 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]

GPT-3

Learning Resources

• 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

Applications

• Aweseome GPT-3 - list of all resources related to GPT-3 [GitHub, 2723 stars]
• GPT-3 Projects - a map of all GPT-3 start-ups and commercial projects
• OpenAI API - API Demo to use GPT-3 for commercial applications

Open-source Efforts

• GPT-Neo - in-progress GPT-3 open source replication

Other

• 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, 1594 stars]
• Performer implementation of Performer, a linear attention-based transformer, in Pytorch [GitHub, 425 stars]

Distillation, Pruning and Quantization

• 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]

Automated Summarization

• 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, 15 stars]

Rule-based NLP

• LemmInflect - A python module for English lemmatization and inflection

Best Practices for NLP

• 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]

Transformer-based Architectures

• 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, 47 stars]
• Practical NLP for the Real World [Presentation, 2019]
• From Paper to Product – How we implemented BERT by Christoph Henkelmann [Talk, 2020]

Embeddings as a Service

• embedding-as-service [GitHub, 147 stars]
• Bert-as-service [GitHub, 8708 stars]

NLP Recipes Industrial Applications:

• NLP Recipes by microsoft [GitHub, 5321 stars]
• NLP with Python by susanli2016 [GitHub, 1822 stars]
• Basic Utilities for PyTorch NLP by PetrochukM [GitHub, 1846 stars]

NLP Applications in Bio, Finance, Legal and other industries

• Blackstone - A spaCy pipeline and model for NLP on unstructured legal text [GitHub, 432 stars]
• Sci spaCy - spaCy pipeline and models for scientific/biomedical documents [GitHub, 767 stars]
• FinBERT: Pre-Trained on SEC Filings for Financial NLP Tasks [GitHub, 129 stars]
• LexNLP - Information retrieval and extraction for real, unstructured legal text [GitHub, 419 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, 128 stars]

Model and Data testing

• WildNLP - Corrupt an input text to test NLP models' robustness [GitHub, 63 stars]
• Great Expectations - Write tests for your data [GitHub, 3297 stars]
• CheckList - Beyond Accuracy: Behavioral Testing of NLP models [GitHub, 1146 stars]
• TextAttack - framework for adversarial attacks, data augmentation, and model training in NLP [GitHub, 1154 stars]

General Speech Recognition

• wav2letter - Automatic Speech Recognition Toolkit [GitHub, 5577 stars]
• DeepSpeech - Baidu's DeepSpeech architecture [GitHub, 16157 stars]
• Acoustic Word Embeddings by Maria Obedkova [Blog, 2020]
• kaldi - Kaldi is a toolkit for speech recognition [GitHub, 9913 stars]
• awesome-kaldi - resources for using Kaldi [GitHub, 351 stars]

Text to Speech

• FastSpeech - The Implementation of FastSpeech based on pytorch [GitHub, 561 stars]

Blogs

• Topic Modelling with PySpark and Spark NLP by Maria Obedkova [Spark, Blog, 2020]

Frameworks for Topic Modeling

• gensim - framework for topic modeling [GitHub, 11534 stars]
• Spark NLP [GitHub, 1776 stars]

Repositories

• Top2Vec [GitHub, 810 stars]
• Anchored Correlation Explanation Topic Modeling [GitHub, 263 stars]
• Topic Modeling in Embedding Spaces [GitHub, 274 stars] Paper
• TopicNet - A high-level interface for BigARTM library [GitHub, 96 stars]
• BERTopic - Leveraging BERT and a class-based TF-IDF to create easily interpretable topics [GitHub, 504 stars]

Text Rank

• PyTextRank - PyTextRank is a Python implementation of TextRank as a spaCy pipeline extension [GitHub, 1376 stars]
• textrank - TextRank implementation for Python 3 [GitHub, 964 stars]

RAKE - Rapid Automatic Keyword Extraction

• rake-nltk - Rapid Automatic Keyword Extraction algorithm using NLTK [GitHub, 783 stars]
• yake - Single-document unsupervised keyword extraction [GitHub, 529 stars]
• RAKE-tutorial - A python implementation of the Rapid Automatic Keyword Extraction [GitHub, 340 stars]
• rake-nltk - Rapid Automatic Keyword Extraction algorithm using NLTK [GitHub, 783 stars]

Other

• flashtext - Extract Keywords from sentence or Replace keywords in sentences [GitHub, 4592 stars]
• BERT-Keyword-Extractor - Deep Keyphrase Extraction using BERT [GitHub, 150 stars]
• NLP Profiler - A simple NLP library allows profiling datasets with text columns [GitHub, 170 stars]
• keyBERT - Minimal keyword extraction with BERT [GitHub, 268 stars]

NLP and ML Interpretability

• Language Interpretability Tool (LIT) [GitHub, 2296 stars]
• WhatLies - Toolkit to help visualise - what lies in word embeddings [GitHub, 208 stars]
• Interpret-Text - Interpretability techniques and visualization dashboards for NLP models [GitHub, 191 stars]
• InterpretML - Fit interpretable models. Explain blackbox machine learning [GitHub, 3348 stars]
• ecco - Tools to visuals and explore NLP language models [GitHub, 77 stars]

Ethics, Bias, and Equality in NLP

• 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

Adversarial Attacks for NLP

• Privacy Considerations in Large Language Models [Blog, Dec 2020]
• DeepWordBug - Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers [GitHub, 45 stars]

General Purpose

• spaCy by Explosion AI [GitHub, 17910 stars]
• flair by Zalando [GitHub, 9733 stars]
• AllenNLP by AI2 [GitHub, 9524 stars]
• stanza (former Stanford NLP) [GitHub, 4999 stars]
• spaCy stanza [GitHub, 484 stars]
• nltk [GitHub, 9512 stars]
• gensim - framework for topic modeling [GitHub, 11534 stars]
• NLP Architect - A Deep Learning NLP/NLU library by Intel® AI Lab [GitHub, 2563 stars]
• polyglot - Multi-lingual NLP Framework [GitHub, 1737 stars]
• FARM [GitHub, 1057 stars]
• gobbli by RTI International [GitHub, 249 stars]
• headliner - training and deployment of seq2seq models [GitHub, 218 stars]
• SyferText - A privacy preserving NLP framework [GitHub, 143 stars]
• DeText - Text Understanding Framework for Ranking and Classification Tasks [GitHub, 976 stars]
• TextHero - Text preprocessing, representation and visualization [GitHub, 2017 stars]
• textblob - TextBlob: Simplified Text Processing [GitHub, 7466 stars]
• AdaptNLP - A high level framework and library for NLP [GitHub, 242 stars]
• textacy - NLP, before and after spaCy [GitHub, 1578 stars]

Data Augmentation

• WildNLP Text manipulation library to test NLP models [GitHub, 63 stars]
• snorkel Framework to generate training data [GitHub, 4368 stars]
• NLPAug Data augmentation for NLP [GitHub, 1495 stars]
• SentAugment Data augmentation by retrieving similar sentences from larger datasets [GitHub, 250 stars]
• faker - Python package that generates fake data for you [GitHub, 11837 stars]

Adversarial NLP Attacks

• TextAttack - framework for adversarial attacks, data augmentation, and model training in NLP [GitHub, 1154 stars]
• CleverHans - adversarial example library for constructing NLP attacks and building defenses [GitHub, 4868 stars]

Non-English oriented

• textblob-de - TextBlob: Simplified Text Processing for German [GitHub, 79 stars]
• Kashgari Transfer Learning with focus on Chinese [GitHub, 1979 stars]
• Underthesea - Vietnamese NLP Toolkit [GitHub, 793 stars]

Transformer-oriented

• transformers by HuggingFace [GitHub, 38665 stars]
• Adapter Hub and its documentation - Adapter modules for Transformers [GitHub, 287 stars]
• haystack - Transformers at scale for question answering & neural search. [GitHub, 1206 stars]

Dialog Systems and Speech

• DeepPavlov by MIPT [GitHub, 4911 stars]
• ParlAI by FAIR [GitHub, 6866 stars]
• rasa - Framework for Conversational Agents [GitHub, 10419 stars]
• wav2letter - Automatic Speech Recognition Toolkit [GitHub, 5577 stars]

Distributed NLP

• Spark NLP [GitHub, 1776 stars]

Machine Translation

• COMET -A Neural Framework for MT Evaluation [GitHub, 49 stars]

Entity and String Matching

• PolyFuzz - Fuzzy string matching, grouping, and evaluation [GitHub, 264 stars]

Discourse Analysis

• ConvoKit - Cornell Conversational Analysis Toolkit [GitHub, 229 stars]

General

• Learn NLP the practical way [Blog, Nov. 2019]

Books

• 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]

Courses

• NLP Course | For You - Great and interactive course on NLP
• Choosing the right course for a Practical NLP Engineer
• 12 Best Natural Language Processing Courses & Tutorials to Learn Online

Tutorials

• nlp-tutorial - A list of NLP(Natural Language Processing) tutorials built on PyTorch [GitHub, 1153 stars]
• nlp-tutorial - Natural Language Processing Tutorial for Deep Learning Researchers [GitHub, 8003 stars]
• Hands-On NLTK Tutorial [GitHub, 405 stars]
• Modern Practical Natural Language Processing [GitHub, 250 stars]

• r/LanguageTechnology - NLP Reddit forum

General

• NeuralCoref 4.0: Coreference Resolution in spaCy with Neural Networks by HuggingFace [GitHub, 2154 stars]

Tokenization

• tokenizers - Fast State-of-the-Art Tokenizers optimized for Research and Production [GitHub, 4113 stars]
• SentencePiece - Unsupervised text tokenizer for Neural Network-based text generation [GitHub, 4673 stars]
• SoMaJo - A tokenizer and sentence splitter for German and English web and social media texts [GitHub, 82 stars]

Data Augmentation and Weak Supervision

Libraries and Frameworks

• WildNLP Text manipulation library to test NLP models [GitHub, 63 stars]
• snorkel Framework to generate training data [GitHub, 4368 stars]
• NLPAug Data augmentation for NLP [GitHub, 1495 stars]
• SentAugment Data augmentation by retrieving similar sentences from larger datasets [GitHub, 250 stars]
• TextAttack - framework for adversarial attacks, data augmentation, and model training in NLP [GitHub, 1154 stars]

Blogs and Tutorials

• A Visual Survey of Data Augmentation in NLP [Blog, 2020]
• Weak Supervision: A New Programming Paradigm for Machine Learning [Blog, March 2019]

Named Entity Recognition (NER)

• Datasets for Entity Recognition [GitHub, 831 stars]
• Datasets to train supervised classifiers for Named-Entity Recognition [GitHub, 216 stars]
• Bootleg - Self-Supervision for Named Entity Disambiguation at the Tail [GitHub, 61 stars]

Relation Extraction

• tacred-relation TACRED: position-aware attention model for relation extraction [GitHub, 262 stars]
• tacrev TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task [GitHub, 33 stars]
• tac-self-attention Relation extraction with position-aware self-attention [GitHub, 55 stars]

Domain Adaptation

• Neural Adaptation in Natural Language Processing - curated list [GitHub, 109 stars]

Low Resource NLP

• CMU LTI Low Resource NLP Bootcamp 2020 - CMU Language Technologies Institute low resource NLP bootcamp 2020 [GitHub, 449 stars]

Spell Correction

• NeuSpell - A Neural Spelling Correction Toolkit [GitHub, 62 stars]
• SymSpellPy - Python port of SymSpell [GitHub, 395 stars]

Reinforcement Learning for NLP

• nlp-gym - NLPGym - A toolkit to develop RL agents to solve NLP tasks [GitHub, 68 stars]

AutoML

• TPOT - Python Automated Machine Learning tool [GitHub, 7716 stars]
• Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch [GitHub, 1101 stars]
• HungaBunga - Brute-Force all sklearn models with all parameters using .fit .predict [GitHub, 606 stars]
• AutoML Natural Language - Google's paid AutoML NLP service

License CC0

Attributions

Resources

• All linked resources belong to original authors

Icons

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• acting by Flatart from the Noun Project
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