JointSQ

Making large AI models cheaper, faster and more accessible

[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

[CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long*, Luka Rimanic, Ce Zhang, Bo Li

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

Federated Learning Utilities and Tools for Experimentation

FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.

A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings

vector quantization for stochastic gradient descent.

A Comprehensive and Versatile Open-Source Federated Learning Framework