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Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding (Findings of EMNLP'23)
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
The official GitHub page for the survey paper "A Survey of Large Language Models".
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Must-read papers on prompt-based tuning for pre-trained language models.
A python library for self-supervised learning on images.
RoBERTa中文预训练模型: RoBERTa for Chinese
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
Mixture-of-Experts for Large Vision-Language Models
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]