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Awesome List
A curated list of awesome Machine Learning frameworks, libraries and software.
GitHub stars and default-branch commits for josephmisiti/awesome-machine-learning.
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Build, run and scale AI agents like API and microservices
🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai
Feature engineering and selection open-source Python library compatible with sklearn.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
Machine learning with dataframes
Hyper-parameter optimization for sklearn
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
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.