huahuatech Goto Github PK
Type: User
huahuatech's Projects
amule
'All-platform' P2P client based on eMule
autoredtools
AutoRedTools是一款轻量级一站式自动下载/自动更新常用开源软件的工具，主要帮助安全从业者/安全开发人员快速进行环境搭建以及常用软件的更新，节约软件的更新或者安 装的时间，从而提升生产效率或工作效率。
backtrader
Python Backtesting library for trading strategies
ballonstranslator
深度学习辅助漫画翻译工具, 支持一键机翻和简单的图像/文本编辑 | Yet another computer-aided comic/manga translation tool powered by deeplearning
buzz
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
coursera-ml-andrewng-notes
吴恩达老师的机器学习课程个人笔记
crawl-pic
crawl pictures from url
deepmosaics
Automatically remove the mosaics in images and videos, or add mosaics to them.
diffsynth-studio
文书视频、图片以及二次元等
facefusion
Next generation face swapper and enhancer
facefusion-assets
Next generation face swapper and enhancer
faceswap
Deepfakes Software For All
free_proxy_ss
分享来自互联网上免费的shadowsocks(SS)/ShadowsocksR(SSR)/V2ray(vmess)代理 每15分钟更新一次，每次各分享4个临时可用代理。 及时订阅、及时更新。
gephi
Gephi - The Open Graph Viz Platform
gfpgan
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
gpt-sovits
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
hello-world
i am a rookie,please all experts guide me
it_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
lede
Lean's OpenWrt source
machine-learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
machinelearning_python
机器学习算法python实现
manga-image-translator
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/
metasploit-framework
Metasploit Framework
ml-for-beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
okfafu-pentestvm-public
okfafu渗透虚拟机公开版
omost
Your image is almost there!
openwrt-ci
OpenWrt CI 在线集成自动编译环境
openwrt-packages
openwet常用软件包
pikachu
一个好玩的Web安全-漏洞测试平台
real_time_image_animation
The Project is real time application in opencv using first order model
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