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

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

A python library for self-supervised learning on images.

Code for ALBEF: a new vision-language pre-training method

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

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

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

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

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)

(CVPR 2021 Oral) Open World Object Detection

A contrastive learning based semi-supervised segmentation network for medical image segmentation

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

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

PyGCL: A PyTorch Library for Graph Contrastive Learning

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

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

ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation