GNN4CMR

? Scalable embedding, reasoning, ranking for images and sentences with CLIP

Awesome paper list with code about generative adversarial nets

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]

(CVPR 2021 Oral) Open World Object Detection

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

Generative Adversarial Networks (GANs) resources sorted by citations

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

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