An opinionated list of awesome Python frameworks, libraries, software and resources.

All Algorithms implemented in Python

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

⚡ A Fast, Extensible Progress Bar for Python and CLI

Data validation using Python type hints

Best Practices on Recommendation Systems

Universal Command Line Interface for Amazon Web Services

Fast and Accurate ML in 3 Lines of Code

AutoML library for deep learning

The property-based testing library for Python

A Python utility / library to sort imports.

A Python scikit for building and analyzing recommender systems

🍊 📊 💡 Orange: Interactive data analysis

A Python module for learning all major algorithms

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (…

ansible-lint checks playbooks for practices and behavior that could potentially be improved and can fix some of the most common ones for you

A linter for YAML files.

Python dictionaries with advanced dot notation access

Natural Gradient Boosting for Probabilistic Prediction

Generate Diverse Counterfactual Explanations for any machine learning model.

LAMA - automatic model creation framework

Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji

QKeras: a quantization deep learning library for Tensorflow Keras

A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.

Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.

Fixes contractions such as `you're` to `you are`

Naszilla is a Python library for neural architecture search (NAS)

Code for Kaggle and Offline Competitions

Core Jupyter functionality

Dataset for the Collection of Facial Expressions from Japanese Artwork