FedTGP

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

A python library for self-supervised learning on images.

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

(CVPR 2021 Oral) Open World Object Detection

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

A concise but complete implementation of CLIP with various experimental improvements from recent papers

Blazing fast framework for fine-tuning similarity learning models

Paper List for Contrastive Learning for Natural Language Processing