Popular GitHub Repositories for Contrastive Regularizers

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

An open source implementation of CLIP.

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

A python library for self-supervised learning on images.

Siamese and triplet networks with online pair/triplet mining in PyTorch

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

[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]

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

A comprehensive list of awesome contrastive self-supervised learning papers.

(CVPR 2021 Oral) Open World Object Detection

A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

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

Implementing Siamese networks with a contrastive loss for similarity learning

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Boltzmann Machines in TensorFlow with examples