awesome-python-machine-learning
github.com/sorend/awesome-python-machine-learning ↗Curated list of Awesome Python Machine Learning frameworks, libraries, tools, etc.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me resources resources from awesome-python-machine-learning"
Installation instructions →What's inside
Resources
- Altair-Catplot
Utility to generate plots with categorical variables using Altair.
- Annoy
Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given query point.
- Apache MXNET
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
- Apache Singa
Distributed deep learning system.
- astroML
Machine learning, statistics, and data mining for astronomy and astrophysics.
- auto_ml
Automated machine learning for production and analytics.
Showing a sample of 127 resources. View the full list on GitHub →