Stars
scikit-learn: machine learning 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
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The fundamental package for scientific computing with Python.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
Functional programming in Python: implementation of missing features to enjoy FP
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
Gin provides a lightweight configuration framework for Python
Machine learning, statistics, and data mining for astronomy and astrophysics
version-string management for VCS-controlled trees
A minimal, extensible, fast and productive framework for building HTTP APIs with Python 3.6 and later.
Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services
Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
Testing tool for TopCoder marathon matches.
Python API Client & a command line interface for controlling Rossum

