There are 19 repositories under contrastive-learning topic.
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.
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
(CVPR 2021 Oral) Open World Object Detection
Code for ALBEF: a new vision-language pre-training method
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
PyGCL: A PyTorch Library for Graph Contrastive Learning
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
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
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Code and resources on scalable and efficient Graph Neural Networks
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
Blazing fast framework for fine-tuning similarity learning models
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
Paper List for Contrastive Learning for Natural Language Processing
A contrastive learning based semi-supervised segmentation network for medical image segmentation
A curated list for awesome self-supervised learning for graphs.
[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
A list of contrastive Learning papers
[CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning
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.
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
Official PyTorch implementation of Contrastive Learning of Musical Representations
PyTorch implementation of the InfoNCE loss for self-supervised learning.
Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"