# cp36m-manylinux2014-aarch64文件下载
torch1.8.0m>cp m>m>36 m>m>cp m>m>36 m>m manylinux2014_aarch64.whl
torch-1.8.0-cp36-cp36m-manylinux2014_aarch64.whl
torchvision0.9.1m>cp m>m>36 m>m manylinux2014aarch64.whl资源下载
本站提供torchvision-0.9.1-cp36m-manylinux2014_aarch64.whl资源的下载链接及详细信
armm>64 m>位pythonm>36 m>numpy1.19.5m>cp m>m>36 m>m>cp m>m>36 m>m manylinux2014_aarchm>64 m>.whl
arm 64位 python36 numpy-1.19.5-cp36-cp36m-manylinux2014_aarch64.w
torch1.7.0m>cp m>m>36 m>m>cp m>m>36 m>m linux_aarch64
pyTorch v1.7.0 JetPack 4.4 (L4T R32.4.3) / JetPack 4.4.1 (L4T R3
mxnet_1.4.0_m>cp m>m>36 m>_m>cp m>m>36 m>m_linux_aarch64.whl
jetson系列的mxnetgpu版本预编译版本1.4.0安装方式pipinstallmxnet-1.4.0-cp36-cp36
numpy_1.16.2_m>cp m>m>36 m>_m>cp m>m>36 m>m_linux_aarch64.whl
numpy1.16.2forRaspberryPi3B/3B+arm64&Python3.6,withubuntu18.04ar
scipy_1.2.1_m>cp m>m>36 m>_m>cp m>m>36 m>m_linux_aarch64.whl
Scipy1.2.1forUbuntuarm6464bitsystem,withPythonversion3.6.Suitabl
cffi1.11.5m>cp m>m>36 m>m>cp m>m>36 m>m manylinux_x86_64.whl
此为适用于Linux和python3.6版本的cffi安装包,版本为1.11.5
scipy_1.0.0_m>cp m>m>36 m>_m>cp m>m>36 m>m_manylinux1_x86_64.whl
大数据辅助插件下载scipy-1.0.0，放这里大家随便下载，绝对好用，不限制
tensorflow_2.0.0a0_m>cp m>m>36 m>_m>cp m>m>36 m>m_manylinux1_x86_64
TensorFlow2.0Alpha版现已推出安装TensorFlow2.0Alpha版的预览版本。有关支持CUDA®的卡，请参