The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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Updated
Nov 2, 2024 - Python
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.
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
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
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.
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 🖼️ & 🖋️
(CVPR 2021 Oral) Open World Object Detection
This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)
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
Blazing fast framework for fine-tuning similarity learning models
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
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