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Automated LLM summary of your research papers
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
Code and documentation to train Stanford's Alpaca models, and generate the data.
🤗 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.
An official implementation of Advancing Radiograph Representation Learning with Masked Record Modeling (ICLR'23)
An official implementation of Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning
An official implementation of PCRLv2 (pre-training and fine-tuning code are included).
Archive for Self-supervised learning in Medical images (A4SM).
Code of paper 'Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training'
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。
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