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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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github.com
Machine learning development environment for data science and AI/ML engineering teams.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
The modern Essentials suite for Spigot and Paper.
github.com
A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Face recognition library that recognizes and manipulates faces from Python or from the command line.
github.com
Foundational Models for State-of-the-Art Speech and Text Translation.
github.com
Visualizations for understanding and analyzing machine learning datasets.
github.com
A Python package to assess and improve fairness of machine learning models.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
github.com
Industrial Grade Federated Learning Framework.
github.com
Feature engineering package with SKlearn like functionality.
github.com
Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
github.com
Python library for automated feature engineering.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
A highly-modular C++ machine learning library for embedded electronics and robotics.
github.com
A Scala library for constructing probabilistic models.
github.com
Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
github.com
Ignite your models into blazing-fast machine learning APIs with a modern framework.
github.com
Finds accurate ML models automatically, efficiently and economically.