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12306
12306自动抢票工具
CnC_Remastered_Collection
Critical-Temperature-of-SuperConductors
A superconductor is an important material used in many practical applications. Depending on their critical temperature they are used for various applications. We used different machine learning regression and classification techniques to determine the critical temperature and its level of superconductivity. Regression is used to predict 𝑻𝒄 (Critical Temperature ) and classification to predict the level of superconductivity (Low or high).The models used here are Decision Tree, Linear regression, Support vector Machine (SVM), K-Nearest Neighbor (KNN), Gradient Boosting, bagging. Keywords—Superconductivity, Critical Temperature, Decision Tree, Linear Regression, Support vector Machine (SVM), Gradient Boosting, K-Nearest Neighbor (KNN).
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
DeepFaceLive
Real-time face swap for PC streaming or video calls
Depix
Recovers passwords from pixelized screenshots
DjangoBlog
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interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。
jnoj
Jiangnan Online Judge
Mathematical-modeling
参加过的建模竞赛
heng5011's Repositories
heng5011/12306
12306自动抢票工具
heng5011/CnC_Remastered_Collection
heng5011/Critical-Temperature-of-SuperConductors
A superconductor is an important material used in many practical applications. Depending on their critical temperature they are used for various applications. We used different machine learning regression and classification techniques to determine the critical temperature and its level of superconductivity. Regression is used to predict 𝑻𝒄 (Critical Temperature ) and classification to predict the level of superconductivity (Low or high).The models used here are Decision Tree, Linear regression, Support vector Machine (SVM), K-Nearest Neighbor (KNN), Gradient Boosting, bagging. Keywords—Superconductivity, Critical Temperature, Decision Tree, Linear Regression, Support vector Machine (SVM), Gradient Boosting, K-Nearest Neighbor (KNN).
heng5011/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
heng5011/DeepFaceLive
Real-time face swap for PC streaming or video calls
heng5011/Depix
Recovers passwords from pixelized screenshots
heng5011/DjangoBlog
🍺基于Django的博客系统
heng5011/interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。
heng5011/jnoj
Jiangnan Online Judge
heng5011/Mathematical-modeling
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nvidia
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heng5011/youtube-8m-videos-frames
Youtube-8m Videos, Frames and Ids Generator. Extract videos from youtube-8m. Extract frames from youtube-8m.