【nano-simsiam：一个极简的PyTorch实现的SimSiam自监督学习框架，仅用400行代码实现，基于ResNet50在ImageNet上达到良好性能。支持分布式训练、实时KNN评估和自动混合精度训练，适合研究原型开发，代码简洁易于理解和修改】
'Minimalistic, hackable PyTorch implementation of SimSiam in ~400 lines. Achieves good performance on ImageNet with ResNet50. Features distributed training, real-time KNN eval, and AMP.'
GitHub: github.com/lucas-maes/nano-simsiam
#自监督学习# #PyTorch# #深度学习# #计算机视觉#
'Minimalistic, hackable PyTorch implementation of SimSiam in ~400 lines. Achieves good performance on ImageNet with ResNet50. Features distributed training, real-time KNN eval, and AMP.'
GitHub: github.com/lucas-maes/nano-simsiam
#自监督学习# #PyTorch# #深度学习# #计算机视觉#
