contrastive-learning

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.

[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.

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

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

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

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

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

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.

Train Models Contrastively in Pytorch

This repo contains the code for "VLM2Vec / MMEB" [ICLR 2025], "VLM2Vec-V2 / MMEB-V2" [TMLR 2026], and "MMEB-V3" [COLM 2026]

Blazing fast framework for fine-tuning similarity learning models

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

Self-supervised contrastive learning for time series via time-frequency consistency