The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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Updated
Apr 1, 2024 - Python
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 contrastive learning based semi-supervised segmentation network for medical image segmentation
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
A python library for self-supervised learning on images.
Code for ALBEF: a new vision-language pre-training method
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
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.
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
(CVPR 2021 Oral) Open World Object Detection
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
PyGCL: A PyTorch Library for Graph Contrastive Learning
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Code for the paper "Contrastive Clustering" (AAAI 2021)
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
Self-supervised contrastive learning for time series via time-frequency consistency
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