Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
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Feature store for machine learning.
Feather Wiki is a developer resource for coding, documentation, communities, security research, or software tools.
Featherbase is an educational resource for documentaries, courses, books, reference material, or self-learning.
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.
Federation of historical and archaeological societies of Alsace.
Search an online collection of books, documents, media and archival records.
Browse digitized texts, images, archives and cataloged cultural materials.
Python distributed computing library for modern computer clusters.
Search art history, music, theatre and media studies data collections and supporting compiled data from DEU.
Search construction engineering and architecture data collections and supporting measurement and test data from DEU.
A highly-modular C++ machine learning library for embedded electronics and robotics.
A Scala library for constructing probabilistic models.
Figure is the first-of-its-kind AI robotics company bringing a general purpose humanoid to life.
Union catalogue of manuscripts from the Islamicate world.
Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
Using AI, FinChat generates answers to questions about public companies and investors.
Aware Online tutorial explaining how to find open FTP servers and public file listings.
Find Starlink is an educational resource for documentaries, courses, books, reference material, or self-learning.
Find-pdf-doc helps search public documents, archives, records, and research collections.
Documentation for Fine Tuning Guide, covering setup, features, and practical usage.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.