Awesome Python Data Science

Caffe: a fast open framework for deep learning.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

matplotlib: plotting with Python

Interactive Data Visualization in the browser, from Python

Fit interpretable models. Explain blackbox machine learning.

Scalable and user friendly neural :brain: forecasting algorithms.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Python library that makes it easy for data scientists to create charts.

A flexible, intuitive and fast forecasting library

A distributed task scheduler for Dask

A research toolkit for particle swarm optimization in Python

Distributed machine learning platform

A library of metrics for evaluating recommender systems

Solve automatic numerical differentiation problems in one or more variables.

A pure Python implementation of Apache Spark's RDD and DStream interfaces.

A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠