Pandas学习-索引的loc和iloc
PyTorch 的 Autograd机制
PixelShuffle
TEM、TE、TM电磁波
torch.nn.functional.conv2d和torch.nn.Conv2d区别
图像先验帮助卷积神经网络利用少量信息训练
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L1, L2, and L0.5 Regularization Techniques.
详解最大似然估计、最大后验概率估计,以及贝叶斯公式的理解
日志logging调试代码
Misc Zemax tools for sequential optical analysis
Share files from wavefrontshaping.net
Datasets, Transforms and Models specific to Computer Vision
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.