Machine learning development environment for data science and AI/ML engineering teams.
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A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
Talk by Princeton professor Arvind Narayanan.
Interactive reports to analyze ML models during validation or production monitoring.
AITV is the world's first AI streamer factory - built for creators, brands, and communities.
Creates or edits images with generative models and visual controls.
Quickly understand inscrutable LLM frameworks by intercepting API calls.
Face recognition library that recognizes and manipulates faces from Python or from the command line.
Foundational Models for State-of-the-Art Speech and Text Translation.
Visualizations for understanding and analyzing machine learning datasets.
Creates, edits or enhances video and animation with generative models.
Making neural nets uncool again, focused on making deep learning more accessible.
Industrial Grade Federated Learning Framework.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
Feature store for machine 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.
Python distributed computing library for modern computer clusters.
A highly-modular C++ machine learning library for embedded electronics and robotics.
Figure is the first-of-its-kind AI robotics company bringing a general purpose humanoid to life.
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.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.