DiffCSE

Reading list for research topics in multimodal machine 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.

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

A curated list of network embedding techniques.

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

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

The implementation of DeBERTa

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

A library for graph deep learning research