Starred repositories
Liquid neural networks for cancer image classification
Official repository of CVPR 2024 paper "EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation"
Natural Language Processing Tutorial for Deep Learning Researchers
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
BLUE benchmark consists of five different biomedicine text-mining tasks with ten corpora.
The Largest-scale Chinese Medical QA Dataset： with 26,000,000 question answer pairs.
OpenMMLab Pre-training Toolbox and Benchmark
A variant of the BART model designed specifically for natural language summarization. It was pre-trained on a large corpus of English text and later fine-tuned on the CNN/Daily Mail dataset. <metad…
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Independent technology for modern publishing, memberships, subscriptions and newsletters.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
中文法律LLaMA (LLaMA for Chinese legel domain)
🎉 Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. 基于中文法律知识的大语言模型
Utility to greatly simplify downloading, converting, viewing and extracting annotations from the Digital Database for Screening Mammography (DDSM) database available here: http://marathon.csee.usf.…
Unofficial guide to PostGraduate Research Students in XJTLU
Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Making large AI models cheaper, faster and more accessible
《机器学习》（西瓜书）代码实战