Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Data Apps & Dashboards for Python. No JavaScript Required.
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes
Low-code framework for building custom LLMs, neural networks, and other AI models
Fast and Accurate ML in 3 Lines of Code
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Visualize and compare datasets, target values and associations, with one line of code.
Feature engineering and selection open-source Python library compatible with sklearn.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Interactive network visualization in Python and Dash, powered by Cytoscape.js
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!