code-philia/mtpnet_image_models
模型训练过程汇总[该仓库只含有image model的训练过程] 本仓库采用扁平化的目录结构和标签系统来组织模型，具体说明如下： 仓库结构 一级目录：直接以模型名称-数据集，例如 ResNet-CIFAR-10、GraphMAE_QM9-Cora 等 二级目录：包含该模型在该数据集下的不同训练任务或变体，例如 normal、noisy、backdoor_invisible 等 训练过程目录结构：每个模型目录下包含： scripts/：存放模型相关代码和训练脚本 epochs/：存放模型训练过程和权重文件 每个epoch的权重文件(model.pth)和embedding(.npy) dataset/：模型需要的数据集 仓库结构展示 文件结构展示
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