AutoML

• Nevergrad - Gradient-free optimization.
• featuretools - Automated feature engineering.
• auto-sklearn - Automated machine learning.
• tpot - Automated machine learning.
• auto_ml - Automated machine learning.
• MLBox - Automated Machine Learning python library.
• devol - Automated deep neural network design via genetic programming.
• skll - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
• autokeras - Automated machine learning in Keras.
• SMAC3 - Sequential Model-based Algorithm Configuration.

Data Gathering

Ranking/Recommender

• gain - Web crawling framework based on asyncio.
• MechanicalSoup - A Python library for automating interaction with websites.
• Pandarallel - Parallel pandas.
• parse - Parse strings using a specification based on the Python format() syntax.
• CleverCSV - CleverCSV is a Python package for handling messy CSV files

Deep Learning Frameworks

• tensorlayer - A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.
• Tensorflow - DL Framework.

Deep Learning Projects

• tensorflow-wavenet - DeepMind's WaveNet.
• DeepRecommender - Recommender systems.
• DrQA - Reading Wikipedia to Answer Open-Domain Questions.
• vqa.pytorch - Visual Question Answering in Pytorch.
• Half-Life Regression - Model for spaced repetition practice.
• learning-to-learn - Learning to Learn in Tensorflow.
• capsule-networks - A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
• Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow.
• lightnet - Bringing pjreddie's DarkNet out of the shadows.
• pytorch-openai-transformer-lm - OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI.
• maskrcnn-benchmark - Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithm in PyTorch.
• LovaszSoftmax - Lovász-Softmax loss.
• ludwing - Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

Deep Learning Tools

• lightly - Lightly is a computer vision framework for self-supervised learning.
• TorchDrift - TorchDrift is a data and concept drift library for PyTorch.
• TorchDrift - TorchDrift is a data and concept drift library for PyTorch.
• Edward - Probabilistic programming language in TensorFlow.
• pomegranate - Probabilistic modelling.
• DLTK - Deep Learning Toolkit for Medical Image Analysis.
• sonnet - TensorFlow-based neural network library.
• rasa_core - Dialogue engine.
• luminoth - Computer Vision.
• allennlp - NLP Research library.
• spotlight - Pytorch Recommender framework.
• tensorforce - TensorFlow library for applied reinforcement learning.
• keras-vis - Neural network visualization toolkit for keras.
• hyperas - Keras + Hyperopt.
• tensorboard_logger - Log TensorBoard events without touching TensorFlow.
• foolbox - Python toolbox to create adversarial examples that fool neural networks.
• pytorch/vision - Datasets, Transforms and Models specific to Computer Vision.
• gluon-nlp - NLP made easy.
• pytorch/ignite - High-level library to help with training neural networks in PyTorch.
• Netron - Visualizer for deep learning and machine learning models.
• gpytorch - A highly efficient and modular implementation of Gaussian Processes in PyTorch.
• tensorly - Tensor Learning in Python.
• einops - Deep learning operations reinvented.
• hiddenlayer - Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
• pytorch-lightning - The lightweight PyTorch wrapper.
• lightly - Lightly is a computer vision framework for self-supervised learning.
• tensorboard-pytorch - Tensorboard for pytorch.
• segmentation_models.pytorch - Segmentation models with pretrained backbones.

Deployment

Ranking/Recommender

• evidently - Evidently helps evaluate machine learning models during validation and monitor them in production.
• onnx - Open Neutral Network Exchange.
• lore - Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.
• kubeflow - Machine Learning Toolkit for Kubernetes.
• airflow - ETL.
• mlflow - Open source platform for the complete machine learning lifecycle.
• sklearn-porter - Transpile trained scikit-learn estimators.
• sklearn-compiledtrees - Compiled Decision Trees for scikit-learn.

Exploration

• fitter - simple class to identify the distribution from which a data samples is generated from.
• Dora - Exploratory data analysis.
• mlxtend - A library of extension and helper modules for Python's data analysis and machine learning libraries.
• yellowbrick - Visual analysis and diagnostic tools.
• sklearn-evaluation - scikit-learn model evaluation.
• missingno - Missing data visualization.
• hypertools - Gaining geometric insights into high-dimensional data.
• scikit-plot - Plotting functionality to scikit-learn objects.
• elih - Explain Machine Learning.
• kmeans_smote - Oversampling for imbalanced learning based on k-means and SMOTE.
• pyUpSet - UpSet suite of visualisation methods.
• lime - Explaining the predictions of any machine learning classifier.
• SauceCat/PDPbox - Partial dependence plot toolbox.
• eli5 - Debug machine learning classifiers and explain their predictions.
• rfpimp - Permutation and drop-column importance for scikit-learn random forests.
• pypeln - Concurrent data pipelines made easy.
• pycm - Multi-class confusion matrix library in Python.
• great_expectations - Always know what to expect from your data.
• alibi - Algorithms for monitoring and explaining machine learning models.
• InterpretML - Fit interpretable models. Explain blackbox machine learning.
• cleanlab - Finding label errors in datasets and learning with noisy labels.
• dtale - Flask/React client for visualizing pandas data structures
• dabl - Data Analysis Baseline Library
• XAI - XAI - An eXplainability toolbox for machine learning
• explainerdashboard - This package makes it convenient to quickly deploy a dashboard web app that explains the workings of a (scikit-learn compatible) machine learning model.
• alibi-detect - Open source Python library focused on outlier, adversarial and drift detection. The package aims to cover both online and offline detectors for tabular data, text, images and time series.
• Skater - Model Agnostic Interpretation.
• pandas-profiling - Profiling reports for pandas DataFrame objects.
• shap - A unified approach to explain the output of any machine learning model.

Feature Extraction

Audio

• python_speech_features - Speech features.
• speechpy - A Library for Speech Processing and Recognition.
• magenta - Music and Art Generation with Machine Intelligence.
• librosa - Audio and music analysis.
• pydub - Manipulate audio with a simple and easy high level interface.
• pytorch/audio - simple audio I/O for pytorch.

General Feature Extraction

• dirty_cat - Encoding methods for dirty categorical variables.
• sklearn-pandas - Pandas integration with sklearn.
• datacleaner - Tool that automatically cleans data sets and readies them for analysis.
• fancyimpute - Multivariate imputation and matrix completion algorithms.
• raccoon - DataFrame with fast insert and appends.
• kmodes - k-modes and k-prototypes clustering algorithm.
• annoy - Approximate Nearest Neighbors.
• scikit-feature - Filter methods for feature selection.
• mifs - Parallelized Mutual Information based Feature Selection module.
• skggm - Scikit-learn compatible estimation of general graphical models.
• Impyute - Data imputations library to preprocess datasets with missing data.
• eif - Extended Isolation Forest for Anomaly Detection.
• featexp - Feature exploration for supervised learning.
• feature_engine - Feature engineering package with sklearn like functionality.
• stumpy - STUMPY is a powerful and scalable Python library that can be used for a variety of time series data mining tasks.
• n2 - Lightweight approximate Nearest Neighbor library which runs faster even with large datasets.
• compressio - Compressio provides lossless in-memory compression of pandas DataFrames and Series.
• pdpipe - Easy pipelines for pandas DataFrames.
• categorical-encoding - sklearn compatible categorical variable encoders.

Geolocation

• geopy - Python Geocoding Toolbox.
• OSMnx - Street networks.
• reverse-geocoder - A fast, offline reverse geocoder.
• pysal - Spatial Analysis Library.
• geopandas - Tools for geographic data.
• geojson - Python bindings for GeoJSON.

Images and Video

• SimpleCV - Wrapper around OpenCV.
• pillow - PIL fork.
• hmap - Image histogram remapping.
• pyocr - A wrapper for Tesseract and Cuneiform (Optical Character Recognition).
• scikit-video - Video processing.
• OpenCV - Open Source Computer Vision Library.
• SimpleCV - Wrapper around OpenCV.
• label-maker - Data Preparation for Satellite Machine Learning.
• face_recognition - Facial recognition.
• imgaug - Image augmentation.
• pyvips - Fast image processing.
• ImageHash - Image hashing.
• Augmentor - Image augmentation library.
• scikit-image - Image processing.
• albumentations - fast image augmentation library.
• PyAV - Bindings for FFmpeg.
• imutils - Convenience functions to make basic image processing operations.
• pyvips - Fast image processing.

Ranking/Recommender

• Surprise - Analyzing recommender systems.
• trueskill - TrueSkill rating system.
• LightFM - Hybrid recommendation algorithm.
• implicit - Collaborative Filtering for Implicit Datasets.

Text/NLP

• preprocessing - Simple interface for the CMU Pronouncing Dictionary.
• BlingFire - A lightning fast Finite State machine and REgular expression manipulation library.
• Fuzzy - Soundex, NYSIIS, Double Metaphone.
• wordfreq - Library for looking up the frequencies of words in many languages, based on many sources of data.
• BERT-pytorch - Google AI 2018 BERT pytorch implementation.
• gensim - Topic Modeling.
• pattern - Web ining module.
• probablepeople - Parsing unstructured western names into name components.
• Expynent - Regular expression patterns.
• mimesis - Generate synthetic data.
• parserator - Domain-specific probabilistic parsers.
• usaddress - Parsing unstructured address strings into address components.
• python-phonenumbers - Python port of Google's libphonenumber.
• jellyfish - Approximate and phonetic matching of strings.
• langid - Stand-alone language identification system.
• fuzzywuzzy - Fuzzy String Matching.
• snowball - Snowball compiler and stemming algorithms.
• leven - Levenshtein edit distance.
• flashtext - Extract Keywords from sentence or Replace keywords in sentences.
• polyglot - Multilingual text NLP processing toolkit.
• sentencepiece - Unsupervised text tokenizer for Neural Network-based text generation.
• pyfasttext - Binding for fastText.
• python-wordsegment - English word segmentation.
• pyahocorasick - Exact or approximate multi-pattern string search.
• Wordbatch - Parallel text feature extraction for machine learning.
• langdetect - Port of Google's language-detection library.
• translation - Uses web services for text translation.
• unidecode - ASCII transliterations of Unicode text.
• pytorch/text - Data loaders and abstractions for text and NLP.
• sent2vec - General purpose unsupervised sentence representations.
• pyhunspell - Python bindings for the Hunspell spellchecker engine.
• facebook/fastText - Library for fast text representation and classification.
• textblob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
• facebook/InferSent - Sentence embeddings (InferSent) and training code for NLI.
• nmslib - Non-Metric Space Library.
• ftfy - Fixes mojibake and other glitches in Unicode text, after the fact.
• fletcher - Pandas ExtensionDType/Array backed by Apache Arrow.
• textacy - NLP, before and after spaCy.
• hmtl - Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP.
• pytext - A natural language modeling framework based on PyTorch.
• flair - A very simple framework for state-of-the-art Natural Language Processing.
• LASER - Language-Agnostic SEntence Representations.
• transformer-xl - Attentive Language Models Beyond a Fixed-Length Context.
• nlpaug - Augmenting nlp for your machine learning projects.
• sum - Automatic summarization of text documents and HTML.
• textract - Extract text from any document.
• newspaper - News extraction, article extraction and content curation.
• pytorch-pretrained-BERT - PyTorch version of Google AI's BERT model with script to load Google's pre-trained models.
• textdistance - Compute distance between sequences.
• pyenchant - Spell checking.
• scrubadub - Clean personally identifiable information from dirty dirty text.
• pyhunspell - Python bindings for the Hunspell spellchecker engine.