Pinned Repositories
Clash-for-Windows_Chinese
clash for windows汉化版. 提供clash for windows的汉化版, 汉化补丁及汉化版安装程序
comp6771
Course repository for COMP6771
COMP9318-18S1
COMP9318 (Data Warehousing and Data Mining) @ UNSW
contact-human-dynamics
Code for ECCV 2020 paper "Contacts and Human Dynamics from Monocular Video".
cyvlfeat
A thin Cython wrapper around select areas of vlfeat
Deep-Live-Cam
real time face swap and one-click video deepfake with only a single image (uncensored)
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
github-issue-helper
jekyll-theme-chirpy
A minimal, sidebar, responsive web design Jekyll theme that focuses on text presentation.
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
YY-GAO's Repositories
YY-GAO/Clash-for-Windows_Chinese
clash for windows汉化版. 提供clash for windows的汉化版, 汉化补丁及汉化版安装程序
YY-GAO/comp6771
Course repository for COMP6771
YY-GAO/COMP9318-18S1
COMP9318 (Data Warehousing and Data Mining) @ UNSW
YY-GAO/contact-human-dynamics
Code for ECCV 2020 paper "Contacts and Human Dynamics from Monocular Video".
YY-GAO/cyvlfeat
A thin Cython wrapper around select areas of vlfeat
YY-GAO/Deep-Live-Cam
real time face swap and one-click video deepfake with only a single image (uncensored)
YY-GAO/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
YY-GAO/github-issue-helper
YY-GAO/jekyll-theme-chirpy
A minimal, sidebar, responsive web design Jekyll theme that focuses on text presentation.
YY-GAO/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
YY-GAO/mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
YY-GAO/my_pc
YY-GAO/MyRC
My configuration collection
YY-GAO/nlp-beginner
NLP上手教程
YY-GAO/research-xbm
XBM: Cross-Batch Memory for Embedding Learning
YY-GAO/vim-config
Lean mean (Neo)Vim machine, carefully crafted with :heart: Use with Neovim v0.1.5+ or Vim v7.4+
YY-GAO/MMA-Diffusion
[CVPR2024] MMA-Diffusion: MultiModal Attack on Diffusion Models
YY-GAO/YY-GAO.github.io