Models & Machine Learning

ERNIE provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.

Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.

Talk by Princeton professor Arvind Narayanan.

AITV is the world's first AI streamer factory - built for creators, brands, and communities.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Exam Samurai provides machine-learning models, research, training resources, or evaluation tools.

Explore Clinical & Biomedical Language Models provides machine-learning models, research, training resources, or evaluation tools.

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.

Falcon LLM is a generative large language model (LLM) that helps advance applications and use cases to future-proof our world.

Making neural nets uncool again, focused on making deep learning more accessible.

FastAgency provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

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.

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.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Feature engineering package with SKlearn like functionality.