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.
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.
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.
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.
Documentation for Fine Tuning Guide, covering setup, features, and practical usage.
Ignite your models into blazing-fast machine learning APIs with a modern framework.
Finds accurate ML models automatically, efficiently and economically.
Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).