Popular GitHub Repositories for Features

The Open Source Feature Store for AI/ML

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

Sparse and discrete interpretability tool for neural networks

Learning with operator-valued kernels

A small database to test different machine learning tasks. It contains simple shapes of different colors.

[IN PROGRESS] Multimodal feature extraction modules for ease of doing research and reproducibility.

A centralized registry for discovering and managing LLM model capabilities. Track model features, costs, and limitations across providers like OpenAI and Anthropic. Supports both verified model definitions and user-managed entries with local storage.