Awesome Machine Learning

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🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.

Feature engineering and selection open-source Python library compatible with sklearn.

Hyper-parameter optimization for sklearn

Machine learning with dataframes

The Python ensemble sampling toolkit for affine-invariant MCMC

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

The Classical Language Toolkit

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.