maxshuang's Projects
7 days golang programs from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM, rpc framework GeeRPC etc) 7天用Go动手写/从零实现系列
Abseil Common Libraries (C++)
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research
For all learning demos
A High-Quality Real Time Upscaler for Anime Video
Open source technology for agriculture, farming, and gardening
收集所有区块链(BlockChain)技术开发相关资料,包括Fabric和Ethereum开发资料
A curated list of awesome computer vision resources
A list of learning materials to understand databases internals
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Python frameworks, libraries, software and resources
Bitcoin Core integration/staging tree
An embedded key/value database for Go.
An industrial-grade C++ implementation of RAFT consensus algorithm based on brpc, widely used inside Baidu to build highly-available distributed systems.
Ultralightweight JSON parser in ANSI C
Coming soon....
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
dark humor is an online epitaph project. Coming soon...
《Designing Data-Intensive Application》DDIA中文翻译
Image restoration with neural networks but without learning.
Tensorflow (Python API) implementation of Deep Photo Style Transfer
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).
A distributed visual search and visual data analytics platform.
图说设计模式
A workload generator for MySQL compatible databases
Chinese-specific configuration to improve your favorite DNS server. Best partner for chnroutes.
Docker images and test runners that replicate the live AWS Lambda environment
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.