xinglianluan

libtorch win shared with deps1.5.1加cpu.zip

libtorch 1.5.1 cpu版本 libtorch-win-shared-with-deps-1.5.1+cpu.zip

pytorch模型剪枝

在cifar数据集上做图像分类的训练,并以此演示怎样进行模型剪枝,pytorch版本必须大于1.4.0

tensorflow1.6cuda9.1python3.6

cuda9.1版本的tensorflow1.6,基于python3.6,名字中没写是GPU还是CPU版本。但这个就是GPU版本的,用了就知道了。

ISBI Challenge Segmentation of neuronal structures in EM stacks

ISBI Challenge: Segmentation of neuronal structures in EM stacks 训练数据有30张，分辨率为512x512，这些图片是果蝇的电镜图。

libtorch win shared with deps1.5.0加cpu.zip

libtorch-win-shared-with-deps-1.5.0+cpu.zip

torch1.5.1cp38cp38manylinux1_x86_64.whl

torch-1.5.1-cp38-cp38-manylinux1_x86_64.whl

cudnn10.2linux x64v8.0.0.180.tgz

cuda10.2对应的cudnn安装包cudnn-10.2-linux-x64-v8.0.0.180.tgz

torch1.0.0cp35cp35mlinux_x86_64.whl

torch-1.0.0-cp35-cp35m-linux_x86_64cuda8.0python3.5

cudnn9.0windows7x64v7.1.3.zip

英伟达深度学习开发工具cuDNNv7.1.3(April17,2018),forCUDA9.0cuDNNv7.1.3LibraryforWindows7

cudnn8.0windows7x64v7.1.3.zip

英伟达深度学习开发工具cuDNNv7.1.3(April17,2018),forCUDA8.0cuDNNv7.1.3LibraryforWindows7