Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.
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Python library for experiment metrics logging into simply formatted local files.
Scala Library/REPL for Machine Learning Research.
An evolutionary optimization library.
Edge Impulse is the development platform for machine learning on edge devices.
Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
Python package which helps to debug machine learning classifiers and explain their predictions.
A simple and functional machine learning library written in Elixir.
Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.
Machine learning development environment for data science and AI/ML engineering teams.
A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
Talk by Princeton professor Arvind Narayanan.
AITV is the world's first AI streamer factory - built for creators, brands, and communities.
Quickly understand inscrutable LLM frameworks by intercepting API calls.
Face recognition library that recognizes and manipulates faces from Python or from the command line.
Visualizations for understanding and analyzing machine learning datasets.
A Python package to assess and improve fairness of machine learning models.
Making neural nets uncool again, focused on making deep learning more accessible.
FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
Industrial Grade Federated Learning Framework.
Feature engineering package with SKlearn like functionality.
Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
Python library for automated feature engineering.
Python distributed computing library for modern computer clusters.