论文地址：ImageNet classification with deep convolutional neural networks
写作偏向技术报告，没有讲设计原因和原理，花了不少精力讲双GPU训练的设计方法，但实际上直接摆出来的模型比较复杂奇怪，看看就行
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论文地址：Scaling unlocks broader generation and deeper functional understanding of proteins 论文实现：https://github.com/Profluent-AI/progen3 ProGen3：MOE+GLM+C
论文地址：Prot42: a Novel Family of Protein Language Models for Target-aware Protein Binder Generation 论文实现：https://huggingface.co/inceptionai Prot42：预训练GP
论文地址：Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization 论文实现：https://github.com/GENTEL-lab/RADAb RADAb：DiffAb
论文地址：Multi-Scale Representation Learning for Protein Fitness Prediction 论文实现：https://github.com/DeepGraphLearning/S3F S3F：序列+结构+点云突变预测 Abstract 该论文研究了
论文地址：Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design 论文实现：https://github.com/KyGao/ABGNN ABGNN：预训练AbBERT+图网络R
Yang Tan Phone: +86 15223128257 | Email: mashiroaugust@gmail.com Homepage: tyang816.github.io | Reseach: AI4Science | Github: tyang816 Education Shang
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