PCL

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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.

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

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

A python library for self-supervised learning on images.

A curated list of network embedding techniques.

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

The implementation of DeBERTa

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard