This repository provides a hyperparameter optimization implementation for machine learning algorithms, accompanying a paper on hyperparameter optimization theory and practice. It includes sample code for regression and classification problems using the Boston-Housing and MNIST datasets, covering algorithms such as random forest, SVM, KNN and artificial neural networks.
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github.com
Desbordante is a high-performance open-source data profiler. It uses a variety of algorithms to discover different patterns in data and supports running data cleaning scenarios using these algorithms. The tool is available as a console version and an easy-to-use web application.
github.com
AIF360, or AI Fairness 360, is a comprehensive toolkit that provides fairness metrics for datasets and machine learning models. It includes explanations for these metrics and algorithms to mitigate bias in data and models. The project is developed by the Trusted-AI community on GitHub.
github.com
Devika is an open-source implementation of an Agentic Software Engineer, initially started as an alternative to Devin. It uses large language models, planning and reasoning algorithms, and web browsing to develop software from human instructions. The project is in an early experimental stage, and the repository notes that there are unimplemented or broken features.
github.com
Magenta is a research project exploring machine learning in art and music creation, developing deep learning and reinforcement learning algorithms for generating songs, images, and drawings. It also explores tools letting artists and musicians extend their processes with these models. The repository is archived and read-only.