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actor-framework

An Open Source Implementation of the Actor Model in C++

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

benchmark

book

Deep Learning 101 with PaddlePaddle （深度学习框架入门教程）

books

自己收集的一些电子书籍

caffe-vs

ccache

ccache - a fast compiler cache (win32 with long paths support)

citools

cpptemplatetutorial

中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)

deep_server

edl

Elastic Deep Learning using PaddlePaddle and Kubernetes

eigen-git-mirror

Git mirror of the official Eigen's repository -- PULL REQUEST MUST BE SENT TO: https://bitbucket.org/eigen/eigen

fluiddoc

Documentations for PaddlePaddle

frcnn-caffe

frcnn-caffe-centos

gopher-lua

GopherLua: VM and compiler for Lua in Go

greenplum-pxf-examples

Using Greenplum with PXF to access external data

ingress-bfe

BFE Ingress Controller for Kubernetes

justauth

🏆Gitee 最有价值开源项目 🚀:100: 小而全而美的第三方登录开源组件。目前已支持Github、Gitee、微博、钉钉、百度、Coding、腾讯云开发者平台、OSChina、支付宝、QQ、微信、淘宝、Google、Facebook、抖音、领英、小米、微软、今日头条、Teambition、StackOverflow、Pinterest、人人、华为、企业微信、酷家乐、Gitlab、美团、饿了么、推特、飞书、京东、阿里云、喜马拉雅、Amazon、Slack和 Line 等第三方平台的授权登录。 Login, so easy!

k8s

kaitai_struct

Kaitai Struct: declarative language to generate binary data parsers in C++ / C# / Go / Java / JavaScript / Lua / Perl / PHP / Python / Ruby

llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

models

Model configurations

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

open-source-mac-os-apps

🚀 Awesome list of open source applications for macOS. https://t.me/opensourcemacosapps

paddle

PArallel Distributed Deep LEarning

paddle_deps

third party pre-builds for paddlepaddle

py-faster-rcnn

python-tools

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration