dreamplayerzhang's repositories
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
awesome-electron
Useful resources for creating apps with Electron
CaptainBlackboard
船长关于机器学习、计算机视觉和工程技术的总结和分享
chigraph
A visual systems language for beginners compiled using LLVM
ckSCADA
Industrial SCADA Based on Kafka
cmssw
CMS Offline Software
Combined_Capstone_Design1
Semiconductor inspection s/w development
Combined_Capstone_Design2
Inspection of Ball Grid Array Solder Void using Mask R-CNN
cplusplus-_Implementation_Of_Introduction_to_Algorithms
《算法导论》第三版中算法的C++实现
CppConfigFramework
C++ Config Framework
CS-Notes
我的自学笔记，终身更新，当前专注System基础、MLSys。
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
free
翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/ssr/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子
FUXA
Web-based Process Visualization (SCADA/HMI/Dashboard) software
imagepy
Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
opencv_3rdparty
OpenCV - 3rdparty
pipert
Real-Time meets High-Delay: A hybrid scheduling and dataflow framework for DSP applications
PyQt
PyQt Examples（PyQt各种测试和例子） PyQt4 PyQt5
pysemisecs
This library is SEMI-SECS-communicate implementation on Python3.
pystdf
Python module for working with STDF files
RaftLib
The RaftLib C++ library, streaming/dataflow concurrency via C++ iostream-like operators
route20
Cross-Platform C++ Dataflow / Pipelining / Stream Processing / Reactive Metaprogramming Framework
secsgem
Simple Python SECS/GEM implementation
STDF-Viewer
A free GUI tool to visualize STDF (semiconductor Standard Test Data Format) data files.
STDFReader
fork from github, modified to support AP team to analyse SDTF datalog.
TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。
wb-toolbox
Simulink toolbox to rapidly prototype robot controllers
YACCLAB
YACCLAB: Yet Another Connected Components Labeling Benchmark