Pinned Repositories
benchmark
A microbenchmark support library
cub
THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
eigen-git-mirror
THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen
free-vpn
We Provide Newset Free VPN Service. PC, mobile phones and network appliances, no software installation. With the VPN Service,you can get through your government's firewall to browse restricted websites.提供最新的免费的 VPN 服务,通过使用 VPN 自由访问互联网(翻墙)!无论是PC端,移动端都无需安装客户端。
googletest
GoogleTest - Google Testing and Mocking Framework
grpc
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
opencv
Open Source Computer Vision Library
pybind11
Seamless operability between C++11 and Python
tensorflow
An Open Source Machine Learning Framework for Everyone
d597797974's Repositories
d597797974/benchmark
A microbenchmark support library
d597797974/cub
THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
d597797974/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
d597797974/eigen-git-mirror
THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen
d597797974/free-vpn
We Provide Newset Free VPN Service. PC, mobile phones and network appliances, no software installation. With the VPN Service,you can get through your government's firewall to browse restricted websites.提供最新的免费的 VPN 服务,通过使用 VPN 自由访问互联网(翻墙)!无论是PC端,移动端都无需安装客户端。
d597797974/googletest
GoogleTest - Google Testing and Mocking Framework
d597797974/grpc
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
d597797974/opencv
Open Source Computer Vision Library
d597797974/pybind11
Seamless operability between C++11 and Python
d597797974/tensorflow
An Open Source Machine Learning Framework for Everyone
d597797974/tensorflow2_tutorials_chinese
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials