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The-NLP-Pandect

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.

Note Quick legend on available resource types:

⭐ - open source project, usually a GitHub repository with its number of stars

📙 - resource you can read, usually a blog post or a paper

🗂️ - a collection of additional resources

🔱 - non-open source tool, framework or paid service

🎥️ - a resource you can watch

🎙️ - a resource you can listen to

Table of Contents

📇 Main Section 🗃️ Sub-sections Sample
NLP Resources Paper Summaries, Conference Summaries, NLP Datasets
NLP Podcasts NLP-only Podcasts, Podcasts with many NLP Episodes
NLP Newsletters -
NLP Meetups -
NLP YouTube Channels -
NLP Benchmarks General NLU, Question Answering, Multilingual
Research Resources Resource on Transformer Models, Distillation and Pruning, Automated Summarization
Industry Resources Best Practices for NLP Systems, MLOps for NLP
Speech Recognition General Resources, Text to Speech, Speech to Text, Datasets
Topic Modeling Blogs, Frameworks, Repositories and Projects
Keyword Extraction Text Rank, Rake, Other Approaches
Responsible NLP NLP and ML Interpretability, Ethics, Bias, and Equality in NLP, Adversarial Attacks for NLP
NLP Frameworks General Purpose, Data Augmentation, Machine Translation, Adversarial Attacks, Dialog Systems & Speech, Entity and String Matching, Non-English Frameworks, Text Annotation
Learning NLP Courses, Books, Tutorials
NLP Communities -
Other NLP Topics Tokenization, Data Augmentation, Named Entity Recognition, Error Correction, AutoML/AutoNLP, Text Generation

The-NLP-Resources

Note Section keywords: paper summaries, compendium, awesome list

Compendiums and awesome lists on the topic of NLP:

NLP Conferences, Paper Summaries and Paper Compendiums:

Papers and Paper Summaries
Conference Summaries

NLP Progress and NLP Tasks:

NLP Datasets:

Word and Sentence embeddings:

Notebooks, Scripts and Repositories

Non-English resources and Compendiums

Pre-trained NLP models

NLP History

General
2020 Year in Review

The-NLP-Podcasts

🔙 Back to the Table of Contents

NLP-only podcasts

Many NLP episodes

Some NLP episodes

The-NLP-Newsletter

The-NLP-Meetups

The-NLP-Youtube

The-NLP-Benchmarks

🔙 Back to the Table of Contents

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
  • ⭐ dialoglue - DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue [GitHub, 285 stars]
  • ⭐ DynaBench - Dynabench is a research platform for dynamic data collection and benchmarking
  • ⭐ Big-Bench - collaborative benchmark for measuring and extrapolating the capabilities of language models [GitHub, 3130 stars]

Summarization

  • ⭐ WikiAsp - WikiAsp: Multi-document aspect-based summarization Dataset
  • ⭐ WikiLingua - A Multilingual Abstractive 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
  • ⭐ IndicGLUE - Natural Language Understanding Benchmark for Indic Languages
  • ⭐ LinCE - Linguistic Code-Switching Evaluation Benchmark
  • ⭐ Russian SuperGlue - Russian SuperGlue Benchmark

Bio, Law, and other scientific domains

  • ⭐ BLURB - Biomedical Language Understanding and Reasoning Benchmark
  • ⭐ BLUE - Biomedical Language Understanding Evaluation benchmark
  • ⭐ LexGLUE - A Benchmark Dataset for Legal Language Understanding in English

Transformer Efficiency

Speech Processing

  • ⭐ SUPERB - Speech processing Universal PERformance Benchmark

Other

  • ⭐ CodeXGLUE - A benchmark dataset for code intelligence
  • ⭐ CrossNER - CrossNER: Evaluating Cross-Domain Named Entity Recognition
  • ⭐ MultiNLI - Multi-Genre Natural Language Inference corpus
  • ⭐ iSarcasm: A Dataset of Intended Sarcasm - iSarcasm is a dataset of tweets, each labelled as either sarcastic or non_sarcastic
  • ⭐ SLTev - tool for comprehensive evaluation of (simultaneous) spoken language translation [GitHub, 10 stars]

The-NLP-Research

🔙 Back to the Table of Contents

General

Embeddings

Repositories

Blogs

Cross-lingual Word and Sentence Embeddings

  • ⭐ vecmap - VecMap (cross-lingual word embedding mappings) [GitHub, 647 stars]
  • ⭐ sentence-transformers - Multilingual Sentence & Image Embeddings with BERT [GitHub, 17672 stars]

Byte Pair Encoding

  • ⭐ bpemb - Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE) [GitHub, 1216 stars]
  • ⭐ subword-nmt - Unsupervised Word Segmentation for Neural Machine Translation and Text Generation [GitHub, 2251 stars]
  • ⭐ python-bpe - Byte Pair Encoding for Python [GitHub, 231 stars]

Transformer-based Architectures

General

Transformer

BERT

Other Transformer Variants

T5
BigBird
Reformer / Linformer / Longformer / Performers
Switch Transformer

GPT-family

General
GPT-3
Learning Resources
Applications
  • ⭐ Awesome GPT-3 - list of all resources related to GPT-3 [GitHub, 4556 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 OpenAI GPT for commercial applications
Open-source Efforts

Other

Distillation, Pruning and Quantization

Reading Material
Tools
  • ⭐ Bert-squeeze - code to reduce the size of Transformer-based models or decrease their latency at inference time [GitHub, 85 stars]
  • ⭐ XtremeDistil - XtremeDistilTransformers for Distilling Massive Multilingual Neural Networks [GitHub, 156 stars]

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, 147 stars]
  • ⭐ XL-Sum - XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages [GitHub, 275 stars]
  • ⭐ SummerTime - an open-source text summarization toolkit for non-experts [GitHub, 280 stars]
  • ⭐ PRIMER - PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization [GitHub, 156 stars]
  • ⭐ summarus - Models for automatic abstractive summarization [GitHub, 173 stars]

Knowledge Graphs and NLP

Model Generation

  • ⭐ smolmodels - agentic framework for building ML models from natural language

Small LLMs

  • smollm - 3B parameter language model designed to push the boundaries of small models [GitHub, 3300 stars]

The-NLP-Industry

Note Section keywords: best practices, MLOps

🔙 Back to the Table of Contents

Best Practices for building NLP Projects

MLOps for NLP

MLOps, especially when applied to NLP, is a set of best practices around automating various parts of the workflow when building and deploying NLP pipelines.

In general, MLOps for NLP includes having the following processes in place:

  • Data Versioning - make sure your training, annotation and other types of data are versioned and tracked
  • Experiment Tracking - make sure that all of your experiments are automatically tracked and saved where they can be easily replicated or retraced
  • Model Registry - make sure any neural models you train are versioned and tracked and it is easy to roll back to any of them
  • Automated Testing and Behavioral Testing - besides regular unit and integration tests, you want to have behavioral tests that check for bias or potential adversarial attacks
  • Model Deployment and Serving - automate model deployment, ideally also with zero-downtime deploys like Blue/Green, Canary deploys etc.
  • Data and Model Observability - track data drift, model accuracy drift etc.

Additionally, there are two more components that are not as prevalent for NLP and are mostly used for Computer Vision and other sub-fields of AI:

  • Feature Store - centralized storage of all features developed for ML models than can be easily reused by any other ML project
  • Metadata Management - storage for all information related to the usage of ML models, mainly for reproducing behavior of deployed ML models, artifact tracking etc.

MLOps Compilations & Awesome Lists

Reading Material

Learning Material

MLOps Communities

Data Versioning

  • ⭐ DVC - Data Version Control (DVC) tracks ML models and data sets [Free and Open Source] Link to GitHub
  • 🔱 Weights & Biases - tools for experiment tracking and dataset versioning [Paid Service]
  • 🔱 Pachyderm - version control for data with the tools to build scalable end-to-end ML/AI pipelines [Paid Service with Free Tier]

Experiment Tracking

  • ⭐ mlflow - open source platform for the machine learning lifecycle [Free and Open Source] Link to GitHub
  • 🔱 Weights & Biases - tools for experiment tracking and dataset versioning [Paid Service]
  • 🔱 Neptune AI - experiment tracking and model registry built for research and production teams [Paid Service]
  • 🔱 Comet ML - enables data scientists and teams to track, compare, explain and optimize experiments and models [Paid Service]
  • 🔱 SigOpt - automate training & tuning, visualize & compare runs [Paid Service]
  • ⭐ Optuna - hyperparameter optimization framework [GitHub, 12827 stars]
  • ⭐ Clear ML - experiment, orchestrate, deploy, and build data stores, all in one place [Free and Open Source] Link to GitHub
  • ⭐ Metaflow - human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects [GitHub, 9589 stars]
Model Registry
  • ⭐ DVC - Data Version Control (DVC) tracks ML models and data sets [Free and Open Source] Link to GitHub
  • ⭐ mlflow - open source platform for the machine learning lifecycle [Free and Open Source] Link to GitHub
  • ⭐ ModelDB - open-source system for Machine Learning model versioning, metadata, and experiment management [GitHub, 1740 stars]
  • 🔱 Neptune AI - experiment tracking and model registry built for research and production teams [Paid Service]
  • 🔱 Valohai - End-to-end ML pipelines [Paid Service]
  • 🔱 Pachyderm - version control for data with the tools to build scalable end-to-end ML/AI pipelines [Paid Service with Free Tier]
  • 🔱 polyaxon - reproduce, automate, and scale your data science workflows with production-grade MLOps tools [Paid Service]
  • 🔱 Comet ML - enables data scientists and teams to track, compare, explain and optimize experiments and models [Paid Service]

Automated Testing and Behavioral Testing

  • ⭐ CheckList - Beyond Accuracy: Behavioral Testing of NLP models [GitHub, 2041 stars]
  • ⭐ TextAttack - framework for adversarial attacks, data augmentation, and model training in NLP [GitHub, 3281 stars]
  • ⭐ WildNLP - Corrupt an input text to test NLP models' robustness [GitHub, 76 stars]
  • ⭐ Great Expectations - Write tests for your data [GitHub, 10828 stars]
  • ⭐ Deepchecks - Python package for comprehensively validating your machine learning models and data [GitHub, 3916 stars]

Model Deployability and Serving

  • ⭐ mlflow - open source platform for the machine learning lifecycle [Free and Open Source] Link to GitHub
  • 🔱 Amazon SageMaker [Paid Service]
  • 🔱 Valohai - End-to-end ML pipelines [Paid Service]
  • 🔱 NLP Cloud - Production-ready NLP API [Paid Service]
  • 🔱 Saturn Cloud [Paid Service]
  • 🔱 SELDON - machine learning deployment for enterprise [Paid Service]
  • 🔱 Comet ML - enables data scientists and teams to track, compare, explain and optimize experiments and models [Paid Service]
  • 🔱 polyaxon - reproduce, automate, and scale your data science workflows with production-grade MLOps tools [Paid Service]
  • ⭐ TorchServe - flexible and easy to use tool for serving PyTorch models [GitHub, 4348 stars]
  • 🔱 Kubeflow - The Machine Learning Toolkit for Kubernetes [GitHub, 10600 stars]
  • ⭐ KFServing - Serverless Inferencing on Kubernetes [GitHub, 4638 stars]
  • 🔱 TFX - TensorFlow Extended - end-to-end platform for deploying production ML pipelines [Paid Service]
  • 🔱 Pachyderm - version control for data with the tools to build scalable end-to-end ML/AI pipelines [Paid Service with Free Tier]
  • 🔱 Cortex - containers as a service on AWS [Paid Service]
  • 🔱 Azure Machine Learning - end-to-end machine learning lifecycle [Paid Service]
  • ⭐ End2End Serverless Transformers On AWS Lambda [GitHub, 122 stars]
  • ⭐ NLP-Service - sample demo of NLP as a service platform built using FastAPI and Hugging Face [GitHub, 13 stars]
  • 🔱 Dagster - data orchestrator for machine learning [Free and Open Source]
  • 🔱 Verta - AI and machine learning deployment and operations [Paid Service]
  • ⭐ Metaflow - human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects [GitHub, 9589 stars]
  • ⭐ flyte - workflow automation platform for complex, mission-critical data and ML processes at scale [GitHub, 6539 stars]
  • ⭐ MLRun - Machine Learning automation and tracking [GitHub, 1598 stars]
  • 🔱 DataRobot MLOps - DataRobot MLOps provides a center of excellence for your production AI

Model Debugging

  • ⭐ imodels - package for concise, transparent, and accurate predictive modeling [GitHub, 1504 stars]
  • ⭐ Cockpit - A Practical Debugging Tool for Training Deep Neural Networks [GitHub, 482 stars]

Model Accuracy Prediction

  • ⭐ WeightWatcher - WeightWatcher tool for predicting the accuracy of Deep Neural Networks [GitHub, 1673 stars]

Data and Model Observability

General
  • ⭐ Arize AI - embedding drift monitoring for NLP models
  • ⭐ Arize-Phoenix - ML observability for LLMs, vision, language, and tabular models
  • ⭐ whylogs - open source standard for data and ML logging [GitHub, 2762 stars]
  • ⭐ Rubrix - open-source tool for exploring and iterating on data for artificial intelligence projects [GitHub, 4718 stars]
  • ⭐ MLRun - Machine Learning automation and tracking [GitHub, 1598 stars]
  • 🔱 DataRobot MLOps - DataRobot MLOps provides a center of excellence for your production AI
  • 🔱 Cortex - containers as a service on AWS [Paid Service]
Model Centric
  • 🔱 Algorithmia - minimize risk with advanced reporting and enterprise-grade security and governance across all data, models, and infrastructure [Paid Service]
  • 🔱 Dataiku - dataiku is for teams who want to deliver advanced analytics using the latest techniques at big data scale [Paid Service]
  • ⭐ Evidently AI - tools to analyze and monitor machine learning models [Free and Open Source] Link to GitHub
  • 🔱 Fiddler - All-in-one ML and LLM observability. Fastest LLM Guardrails. [Paid Service]
  • 🔱 Hydrosphere - open-source platform for managing ML models [Paid Service]
  • 🔱 Verta - AI and machine learning deployment and operations [Paid Service]
  • 🔱 Domino Model Ops - Deploy and Manage Models to Drive Business Impact [Paid Service]
Data Centric
  • 🔱 Datafold - data quality through diffs, profiling, and anomaly detection [Paid Service]
  • 🔱 acceldata - improve reliability, accelerate scale, and reduce costs across all data pipelines [Paid Service]
  • 🔱 Bigeye - monitoring and alerting to your datasets in minutes [Paid Service]
  • 🔱 datakin - end-to-end, real-time data lineage solution [Paid Service]
  • 🔱 Monte Carlo - data integrity, drifts, schema, lineage [Paid Service]
  • 🔱 SODA - data monitoring, testing and validation [Paid Service]

Feature Stores

  • 🔱 Tecton - enterprise feature store for machine learning [Paid Service]
  • ⭐ FEAST - open source feature store for machine learning Website [GitHub, 6386 stars]
  • 🔱 Hopsworks Feature Store - data management system for managing machine learning features [Paid Service]

Metadata Management

  • ⭐ ML Metadata - a library for recording and retrieving metadata associated with ML developer and data scientist workflows [GitHub, 661 stars]
  • 🔱 Neptune AI - experiment tracking and model registry built for research and production teams [Paid Service]

MLOps Frameworks

  • ⭐ Metaflow - human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects [GitHub, 9589 stars]
  • ⭐ kedro - Python framework for creating reproducible, maintainable and modular data science code [GitHub, 10573 stars]
  • ⭐ Seldon Core - MLOps framework to package, deploy, monitor and manage thousands of production machine learning models [GitHub, 4651 stars]
  • ⭐ ZenML - MLOps framework to create reproducible ML pipelines for production machine learning [GitHub, 4941 stars]
  • 🔱 Google Vertex AI - build, deploy, and scale ML models faster, with pre-trained and custom tooling within a unified AI platform [Paid Service]
  • ⭐ Diffgram - Complete training data platform for machine learning delivered as a single application [GitHub, 1884 stars]
  • 🔱 Continual.ai - build, deploy, and operationalize ML models easier and faster with a declarative interface on cloud data warehouses like Snowflake, BigQuery, RedShift, and Databricks. [Paid Service]

Transformer-based Architectures

🔙 Back to the Table of Contents

General

Multi-GPU Transformers
Training Transformers Effectively

Embeddings as a Service

NLP Recipes Industrial Applications:

NLP Applications in Bio, Finance, Legal and other industries

  • ⭐ Blackstone - A spaCy pipeline and model for NLP on unstructured legal text [GitHub, 661 stars]
  • ⭐ Sci spaCy - spaCy pipeline and models for scientific/biomedical documents [GitHub, 1884 stars]
  • ⭐ FinBERT: Pre-Trained on SEC Filings for Financial NLP Tasks [GitHub, 204 stars]
  • ⭐ LexNLP - Information retrieval and extraction for real, unstructured legal text [GitHub, 748 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, 679 stars]
  • ⭐ BioIE - A curated list of resources relevant to doing Biomedical Information Extraction [GitHub, 396 stars]

The-NLP-Speech

Note Section keywords: speech recognition

🔙 Back to the Table of Contents

General Speech Recognition

  • ⭐ wav2letter - Automatic Speech Recognition Toolkit [GitHub, 6443 stars]
  • ⭐ DeepSpeech - Baidu's DeepSpeech architecture [GitHub, 26621 stars]
  • 📙 Acoustic Word Embeddings by Maria Obedkova [Blog, 2020]
  • ⭐ kaldi - Kaldi is a toolkit for speech recognition [GitHub, 15160 stars]
  • ⭐ awesome-kaldi - resources for using Kaldi [GitHub, 537 stars]
  • ⭐ ESPnet - End-to-End Speech Processing Toolkit [GitHub, 9507 stars]
  • 📙 HuBERT - Self-supervised representation learning for speech recognition, generation, and compression [Blog, June 2021]

Text to Speech / Speech Generation

  • ⭐ FastSpeech - The Implementation of FastSpeech based on pytorch [GitHub, 878 stars]
  • ⭐ TTS - a deep learning toolkit for Text-to-Speech [GitHub, 42960 stars]
  • 🔱 NotebookLM - Google Gemini powered personal assistant / podcast generator

Speech to Text

  • ⭐ whisper - Robust Speech Recognition via Large-Scale Weak Supervision, by OpenAI [GitHub, 89317 stars]
  • ⭐ vibe - GUI tool to work with whisper, multilingual and cuda support included [GitHub, 4329 stars]

Datasets

  • ⭐ VoxPopuli - large-scale multilingual speech corpus for representation learning [GitHub, 559 stars]

The-NLP-Topics

Note Section keywords: topic modeling

🔙 Back to the Table of Contents

Blogs

Frameworks for Topic Modeling

  • ⭐ gensim - framework for topic modeling [GitHub, 16223 stars]
  • ⭐ Spark NLP [GitHub, 4053 stars]

Repositories

Keyword-Extraction

Note Section keywords: keyword extraction

🔙 Back to the Table of Contents

Text Rank

  • ⭐ PyTextRank - PyTextRank is a Python implementation of TextRank as a spaCy pipeline extension [GitHub, 2199 stars]
  • ⭐ textrank - TextRank implementation for Python 3 [GitHub, 1265 stars]

RAKE - Rapid Automatic Keyword Extraction

  • ⭐ rake-nltk - Rapid Automatic Keyword Extraction algorithm using NLTK [GitHub, 1072 stars]
  • ⭐ yake - Single-document unsupervised keyword extraction [GitHub, 1793 stars]
  • ⭐ RAKE-tutorial - A python implementation of the Rapid Automatic Keyword Extraction [GitHub, 374 stars]
  • ⭐ rake-nltk - Rapid Automatic Keyword Extraction algorithm using NLTK [GitHub, 1072 stars]

Other Approaches

  • ⭐ flashtext - Extract Keywords from sentence or Replace keywords in sentences [GitHub, 5681 stars]
  • ⭐ BERT-Keyword-Extractor - Deep Keyphrase Extraction using BERT [GitHub, 261 stars]
  • ⭐ keyBERT - Minimal keyword extraction with BERT [GitHub, 4017 stars]
  • ⭐ KeyphraseVectorizers - vectorizers that extract keyphrases with part-of-speech patterns [GitHub, 264 stars]

Further Reading

Responsible-NLP

Note Section keywords: ethics, responsible NLP

🔙 Back to the Table of Contents

NLP and ML Interpretability

NLP-centric

General

  • ⭐ Language Interpretability Tool (LIT) [GitHub, 3596 stars]
  • ⭐ WhatLies - Toolkit to help visualise - what lies in word embeddings [GitHub, 477 stars]
  • ⭐ Interpret-Text - Interpretability techniques and visualization dashboards for NLP models [GitHub, 427 stars]
  • ⭐ InterpretML - Fit interpretable models. Explain blackbox machine learning [GitHub, 6689 stars]
  • ⭐ thermostat - Collection of NLP model explanations and accompanying analysis tools [GitHub, 144 stars]
  • ⭐ Dodrio - Exploring attention weights in transformer-based models with linguistic knowledge [GitHub, 369 stars]
  • ⭐ imodels - package for concise, transparent, and accurate predictive modeling [GitHub, 1504 stars]

Ethics, Bias, and Equality in NLP

Adversarial Attacks for NLP

Hate Speech Analysis

  • ⭐ HateXplain - BERT for detecting abusive language [GitHub, 221 stars]

NLP & Security

  • ⭐ vuln2vc - domain-specific Word2Vec model for cybersecurity text mining and NLP research [GitHub, 1 stars]

The-NLP-Frameworks

Note Section keywords: frameworks

🔙 Back to the Table of Contents

General Purpose

  • ⭐ spaCy by Explosion AI [GitHub, 32636 stars]
  • ⭐ flair by Zalando [GitHub, 14297 stars]
  • ⭐ AllenNLP by AI2 [GitHub, 11879 stars]
  • ⭐ stanza (former Stanford NLP) [GitHub, 7625 stars]
  • ⭐ spaCy stanza [GitHub, 739 stars]
  • ⭐ nltk [GitHub, 14330 stars]
  • ⭐ gensim - framework for topic modeling [GitHub, 16223 stars]
  • ⭐ pororo - Platform of neural models for natural language processing [GitHub, 1303 stars]
  • ⭐ NLP Architect - A Deep Learning NLP/NLU library by Intel® AI Lab [GitHub, 2939 stars]
  • ⭐ FARM [GitHub, 1753 stars]
  • ⭐ gobbli by RTI International [GitHub, 275 stars]
  • ⭐ headliner - training and deployment of seq2seq models [GitHub, 227 stars]
  • ⭐ SyferText - A privacy preserving NLP framework [GitHub, 198 stars]
  • ⭐ DeText - Text Understanding Framework for Ranking and Classification Tasks [GitHub, 1268 stars]
  • ⭐ TextHero - Text preprocessing, representation and visualization [GitHub, 2910 stars]
  • ⭐ textblob - TextBlob: Simplified Text Processing [GitHub, 9441 stars]
  • ⭐ AdaptNLP - A high level framework and library for NLP [GitHub, 407 stars]
  • ⭐ textacy - NLP, before and after spaCy [GitHub, 2230 stars]
  • ⭐ texar - Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow [GitHub, 2389 stars]
  • ⭐ jiant - jiant is an NLP toolkit [GitHub, 1667 stars]

Data Augmentation

  • ⭐ WildNLP Text manipulation library to test NLP models [GitHub, 76 stars]
  • ⭐ snorkel Framework to generate training data [GitHub, 5926 stars]
  • ⭐ NLPAug Data augmentation for NLP [GitHub, 4620 stars]
  • ⭐ SentAugment Data augmentation by retrieving similar sentences from larger datasets [GitHub, 362 stars]
  • ⭐ faker - Python package that generates fake data for you [GitHub, 18751 stars]
  • ⭐ textflint - Unified Multilingual Robustness Evaluation Toolkit for NLP [GitHub, 647 stars]
  • ⭐ Parrot - Practical and feature-rich paraphrasing framework [GitHub, 909 stars]
  • ⭐ AugLy - data augmentations library for audio, image, text, and video [GitHub, 5051 stars]
  • ⭐ TextAugment - Python 3 library for augmenting text for natural language processing applications [GitHub, 427 stars]

Adversarial NLP Attacks & Behavioral Testing

  • ⭐ TextAttack - framework for adversarial attacks, data augmentation, and model training in NLP [GitHub, 3281 stars]
  • ⭐ CleverHans - adversarial example library for constructing NLP attacks and building defenses [GitHub, 6370 stars]
  • ⭐ CheckList - Beyond Accuracy: Behavioral Testing of NLP models [GitHub, 2041 stars]

Transformer-oriented

  • ⭐ transformers by HuggingFace [GitHub, 150952 stars]
  • ⭐ Adapter Hub and its documentation - Adapter modules for Transformers [GitHub, 2774 stars]
  • ⭐ haystack - Transformers at scale for question answering & neural search. [GitHub, 22959 stars]

Dialogue Systems and Speech, Voice Agents

  • ⭐ DeepPavlov by MIPT [GitHub, 6934 stars]
  • ⭐ ParlAI by FAIR [GitHub, 10620 stars]
  • ⭐ rasa - Framework for Conversational Agents [GitHub, 20736 stars]
  • ⭐ wav2letter - Automatic Speech Recognition Toolkit [GitHub, 6443 stars]
  • ⭐ ChatterBot - conversational dialog engine for creating chatbots [GitHub, 14421 stars]
  • ⭐ SpeechBrain - open-source and all-in-one speech toolkit based on PyTorch [GitHub, 10542 stars]
  • ⭐ dialoguefactory Generate continuous dialogue data in a simulated textual world [GitHub, 5 stars]
  • ⭐ gabber AI applications that can see, hear, and speak using your screens, microphones [GitHub, 931 stars]

Word/Sentence-embeddings oriented

  • ⭐ MUSE A library for Multilingual Unsupervised or Supervised word Embeddings [GitHub, 3224 stars]
  • ⭐ vecmap A framework to learn cross-lingual word embedding mappings [GitHub, 647 stars]
  • ⭐ sentence-transformers - Multilingual Sentence & Image Embeddings with BERT [GitHub, 17672 stars]

Social Media Oriented

  • ⭐ Ekphrasis - text processing tool, geared towards text from social networks [GitHub, 671 stars]

Phonetics

  • ⭐ DeepPhonemizer - grapheme to phoneme conversion with deep learning [GitHub, 401 stars]

Morphology

  • ⭐ LemmInflect - python module for English lemmatization and inflection [GitHub, 272 stars]
  • ⭐ Inflect - generate plurals, ordinals, indefinite articles [GitHub, 1042 stars]
  • ⭐ simplemma - simple multilingual lemmatizer for Python [GitHub, 1042 stars]

Multi-lingual tools

  • ⭐ polyglot - Multi-lingual NLP Framework [GitHub, 2349 stars]
  • ⭐ trankit - Light-Weight Transformer-based Python Toolkit for Multilingual NLP [GitHub, 768 stars]

Distributed NLP / Multi-GPU NLP

Machine Translation

  • ⭐ COMET -A Neural Framework for MT Evaluation [GitHub, 670 stars]
  • ⭐ marian-nmt - Fast Neural Machine Translation in C++ [GitHub, 1386 stars]
  • ⭐ argos-translate - Open source neural machine translation in Python [GitHub, 4914 stars]
  • ⭐ Opus-MT - Open neural machine translation models and web services [GitHub, 735 stars]
  • ⭐ dl-translate - A deep learning-based translation library built on Huggingface transformers [GitHub, 493 stars]
  • ⭐ CTranslate2 - CTranslate2 end-to-end machine translation [GitHub, 4055 stars]

Entity and String Matching

  • ⭐ PolyFuzz - Fuzzy string matching, grouping, and evaluation [GitHub, 783 stars]
  • ⭐ pyahocorasick - Python module implementing Aho-Corasick algorithm for string matching [GitHub, 1034 stars]
  • ⭐ fuzzywuzzy - Fuzzy String Matching in Python [GitHub, 9261 stars]
  • ⭐ jellyfish - approximate and phonetic matching of strings [GitHub, 2154 stars]
  • ⭐ textdistance - Compute distance between sequences [GitHub, 3495 stars]
  • ⭐ DeepMatcher - Compute distance between sequences [GitHub, 605 stars]
  • ⭐ RE2 - Simple and Effective Text Matching with Richer Alignment Features [GitHub, 339 stars]
  • ⭐ Machamp - Machamp: A Generalized Entity Matching Benchmark [GitHub, 21 stars]
  • ⭐ bge-m3 - BGE-M3 hybrid retrieval + re-ranking GitHub [GitHub, 10700 stars]
  • 📙 Cosine_Similarity_Explainer - Semantic Similarity Explainer with AI

Discourse Analysis

  • ⭐ ConvoKit - Cornell Conversational Analysis Toolkit [GitHub, 605 stars]

PII scrubbing

  • ⭐ scrubadub - Clean personally identifiable information from dirty dirty text [GitHub, 415 stars]

Hastag Segmentation

  • ⭐ hashformers - automatically inserting the missing spaces between the words in a hashtag [GitHub, 73 stars]

Books Analysis / Literary Analysis / Semantic Search

  • ⭐ booknlp - a natural language processing pipeline that scales to books and other long documents (in English) [GitHub, 871 stars]
  • ⭐ bookworm - ingests novels, builds an implicit character network and a deeply analysable graph [GitHub, 76 stars]
  • ⭐ SemanticFinder - frontend-only live semantic search with transformers.js [GitHub, 300 stars]

Non-English oriented

Japanese

  • ⭐ fugashi - Cython MeCab wrapper for fast, pythonic Japanese tokenization and morphological analysis [GitHub, 479 stars]
  • ⭐ SudachiPy - SudachiPy is a Python version of Sudachi, a Japanese morphological analyzer [GitHub, 413 stars]
  • ⭐ Konoha - easy-to-use Japanese Text Processing tool, which makes it possible to switch tokenizers with small changes of code [GitHub, 255 stars]
  • ⭐ jProcessing - Japanese Natural Langauge Processing Libraries [GitHub, 149 stars]
  • ⭐ Ginza - Japanese NLP Library using spaCy as framework based on Universal Dependencies [GitHub, 810 stars]
  • ⭐ kuromoji - self-contained and very easy to use Japanese morphological analyzer designed for search [GitHub, 1002 stars]
  • ⭐ nagisa - Japanese tokenizer based on recurrent neural networks [GitHub, 405 stars]
  • ⭐ KyTea - Kyoto Text Analysis Toolkit for word segmentation and pronunciation estimation [GitHub, 209 stars]
  • ⭐ Jigg - Pipeline framework for easy natural language processing [GitHub, 75 stars]
  • ⭐ Juman++ - Juman++ (a Morphological Analyzer Toolkit) [GitHub, 398 stars]
  • ⭐ RakutenMA - morphological analyzer (word segmentor + PoS Tagger) for Chinese and Japanese written purely in JavaScript [GitHub, 471 stars]
  • ⭐ toiro - a comparison tool of Japanese tokenizers [GitHub, 121 stars]

Thai

  • ⭐ AttaCut - Fast and Reasonably Accurate Word Tokenizer for Thai [GitHub, 90 stars]
  • ⭐ ThaiLMCut - Word Tokenizer for Thai Language [GitHub, 15 stars]

Chinese

  • ⭐ Spacy-pkuseg - The pkuseg toolkit for multi-domain Chinese word segmentation [GitHub, 62 stars]

Ukrainian

  • ⭐ recruitment-dataset - Recruitment Dataset Preprocessing and Recommender System (Ukrainian, English)

Other

  • ⭐ textblob-de - TextBlob: Simplified Text Processing for German [GitHub, 103 stars]
  • ⭐ Kashgari Transfer Learning with focus on Chinese [GitHub, 2387 stars]
  • ⭐ Underthesea - Vietnamese NLP Toolkit [GitHub, 1604 stars]
  • ⭐ PTT5 - Pretraining and validating the T5 model on Brazilian Portuguese data [GitHub, 91 stars]

Text Data Labelling & Classification

  • ⭐ Small-Text - Active Learning for Text Classifcation in Python [GitHub, 627 stars]
  • ⭐ Doccano - open source annotation tool for machine learning practitioners [GitHub, 10320 stars]
  • ⭐ Adala - Autonomous DAta (Labeling) Agent framework [GitHub, 1275 stars]
  • ⭐ EDA - Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks [GitHub, 1651 stars]
  • 🔱 Prodigy - annotation tool powered by active learning [Paid Service]

The-NLP-Learning

Note Section keywords: learn NLP

🔙 Back to the Table of Contents

General

Courses

Books

Tutorials

The-NLP-Communities

Other-NLP-Topics

🔙 Back to the Table of Contents

Tokenization

  • ⭐ tokenizers - Fast State-of-the-Art Tokenizers optimized for Research and Production [GitHub, 10127 stars]
  • ⭐ SentencePiece - Unsupervised text tokenizer for Neural Network-based text generation [GitHub, 11345 stars]
  • ⭐ SoMaJo - A tokenizer and sentence splitter for German and English web and social media texts [GitHub, 147 stars]

Data Augmentation and Weak Supervision

Libraries and Frameworks
  • ⭐ WildNLP Text manipulation library to test NLP models [GitHub, 76 stars]
  • ⭐ NLPAug Data augmentation for NLP [GitHub, 4620 stars]
  • ⭐ SentAugment Data augmentation by retrieving similar sentences from larger datasets [GitHub, 362 stars]
  • ⭐ TextAttack - framework for adversarial attacks, data augmentation, and model training in NLP [GitHub, 3281 stars]
  • ⭐ skweak - software toolkit for weak supervision applied to NLP tasks [GitHub, 926 stars]
  • ⭐ NL-Augmenter - Collaborative Repository of Natural Language Transformations [GitHub, 787 stars]
  • ⭐ EDA - Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks [GitHub, 1651 stars]
  • ⭐ snorkel Framework to generate training data [GitHub, 5926 stars]
  • ⭐ dialoguefactory Generate continuous dialogue data in a simulated textual world [GitHub, 5 stars]
Reading Material and Tutorials

Named Entity Recognition (NER)

Relation Extraction

  • ⭐ tacred-relation TACRED: position-aware attention model for relation extraction [GitHub, 360 stars]
  • ⭐ tacrev TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task [GitHub, 70 stars]
  • ⭐ tac-self-attention Relation extraction with position-aware self-attention [GitHub, 67 stars]
  • ⭐ Re-TACRED Re-TACRED: Addressing Shortcomings of the TACRED Dataset [GitHub, 54 stars]

Coreference Resolution

Sentiment Analysis

Domain Adaptation

Low Resource NLP

Spell Correction / Error Correction

  • ⭐ Gramformer - ramework for detecting, highlighting and correcting grammatical errors [GitHub, 1555 stars]
  • ⭐ NeuSpell - A Neural Spelling Correction Toolkit [GitHub, 694 stars]
  • ⭐ SymSpellPy - Python port of SymSpell [GitHub, 847 stars]
  • 📙 Speller100 by Microsoft [Blog, Feb 2021]
  • ⭐ JamSpell - spell checking library - accurate, fast, multi-language [GitHub, 648 stars]
  • ⭐ pycorrector - spell correction for Chinese [GitHub, 6195 stars]
  • ⭐ contractions - Fixes contractions such as you're to you are [GitHub, 317 stars]
  • 📙 Fine Tuning T5 for Grammar Correction by Sachin Abeywardana [Blog, Nov 2022]

PDF Parsing

  • ⭐ spacy-layout - Process PDFs, Word documents and more with spaCy [GitHub, 772 stars]
  • ⭐ bentopdf - A Privacy First PDF Toolkit [GitHub, 7 stars]

Style Transfer for NLP

  • ⭐ Styleformer - Neural Language Style Transfer framework [GitHub, 488 stars]
  • ⭐ StylePTB - A Compositional Benchmark for Fine-grained Controllable Text Style Transfer [GitHub, 63 stars]

Automata Theory for NLP

  • ⭐ pyahocorasick - Python module implementing Aho-Corasick algorithm for string matching [GitHub, 1034 stars]

Obscene words detection

  • ⭐ LDNOOBW - List of Dirty, Naughty, Obscene, and Otherwise Bad Words [GitHub, 3207 stars]

Reddit Analysis

  • ⭐ Subreddit Analyzer - comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit [GitHub, 493 stars]

Skill Detection

  • ⭐ SkillNER - rule based NLP module to extract job skills from text [GitHub, 196 stars]

Reinforcement Learning for NLP

  • ⭐ nlp-gym - NLPGym - A toolkit to develop RL agents to solve NLP tasks [GitHub, 200 stars]

AutoML / AutoNLP

  • ⭐ AutoNLP - Faster and easier training and deployments of SOTA NLP models [GitHub, 4502 stars]
  • ⭐ TPOT - Python Automated Machine Learning tool [GitHub, 10002 stars]
  • ⭐ Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch [GitHub, 2494 stars]
  • ⭐ HungaBunga - Brute-Force all sklearn models with all parameters using .fit .predict [GitHub, 711 stars]
  • 🔱 AutoML Natural Language - Google's paid AutoML NLP service
  • ⭐ Optuna - hyperparameter optimization framework [GitHub, 12827 stars]
  • ⭐ FLAML - fast and lightweight AutoML library [GitHub, 4222 stars]
  • ⭐ Gradsflow - open-source AutoML & PyTorch Model Training Library [GitHub, 306 stars]

OCR - Optical Character Recognition

Document AI

Text Generation

Title / Headlines Generation

  • ⭐ TitleStylist Learning to Generate Headlines with Controlled Styles [GitHub, 77 stars]

NLP research reproducibility

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A comprehensive reference for all topics related to Natural Language Processing

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