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Name: 吕志炫
Type: User
Company: 1575653279562620929_1582628631577010176_1582628632659140608_1584377689106718720
吕志炫's Projects
500lines
500 Lines or Less
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
awesome-java
A curated list of awesome frameworks, libraries and software for the Java programming language.
awesome-modern-cpp
A collection of resources on modern C++
bacteria_autoobjectdetect
病菌图像自动分析与识别处理的系统设计
build-your-own-x
🤓 Build your own (insert technology here)
colid
a test repo for downloading a link pic for colab
composer
Generates video game music using neural networks.
copytranslator
Foreign language reading and translation assistant based on copy and translate.
darknet
Convolutional Neural Networks
deeplearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
deeplearningpython35
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
dokiboki.github.io
202_12_21___11_33
domain_malicious_detection
Malicious domain name detection based on tensorflow
growth-in-action
全栈增长工程师实战
iheader
Chrome扩展: 告别跨域，定制HTTP请求响应头
learnpython
以撸代码的形式学习Python
machine_learning_security
Source code about machine learning and security.
mathjax
Beautiful and accessible math in all browsers
models
Models and examples built with TensorFlow
moresearch
猫搜源代码。旨在聚合搜索引擎结果，提高搜索效率。
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
open-cv-4.5-0
None
opencv
Open Source Computer Vision Library
p2pchatroom
基于Qt的P2P聊天软件实现，主要由多个聊天客户端和一个中心注册服务器组成。
password_meter
This project implements a data-driven password meter. Its effects on password security and usability were evaluated in the following publication: http://www.blaseur.com/papers/CHI17meter.pdf and a demo is available at: https://cups.cs.cmu.edu/meter/
scrcpy
Display and control your Android device
tensorflow_engineering_implementation
The source code and dataset about <Deep Learning - Best Practices on TensorFlow Engineering Implementation>
test-file-one
Well, this is my new version of github coding.
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