hupengfeizz

hupengfeizz's Stars

• deepseek-ai/DeepSeek-R1

  87.3k11.3k

• PetalsOnaWet/lizhi

  李志所有歌曲下载地址 Li Zhi all songs download address

  3k302

• changaolee/algorithms

  《算法精讲系列》源码仓库

  Language:C++8

• liweitianux/resume

  My resume in LaTeX (template suited for new graduates; 应届生简历模板)

  Language:TeX651141

• soroushjavdan/SyntheticMinorityOverSamplingTechnique-SMOTE

  SMOTE is an algorithm that could be use for creating artificial sample from existing dataset

  Language:Python7

• vincelwt/chatgpt-mac

  ChatGPT for Mac, living in your menubar.

  Language:JavaScript6.4k506

• nathanrooy/differential-evolution-optimization

  A simple, bare bones, implementation of differential evolution optimization.

  Language:Python4913

• haris989/NSGA-II

  This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.

  Language:Python464159

• mzgubic/MINE

  Mutual Information Neural Estimator implemented in Tensorflow

  Language:Jupyter Notebook4616

• xyjigsaw/Dataset

  Dataset for all

  Language:MATLAB3943

• Mark1988NK/VNSGAII-CARS-Algorithm

  Language:MATLAB1

• changgyhub/leetcode_101

  LeetCode 101：力扣刷题指南

  9.3k1.2k

• ddddxxx/LyricsX

  🎶 Ultimate lyrics app for macOS.

  Language:Swift4.9k400

• FuSiry/OpenSA

  Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process, a complete algorithm library is established, which is named opensa (openspectrum analysis).

  Language:Python16337

• CTeX-org/lshort-zh-cn

  A Chi­nese edi­tion of the Not So Short Introduction to LaTeX2ε

  Language:TeX3.2k421

• lq1990/Bilibili-WenDao

  Algorithm & DataSet for Machine Learning

  Language:Python7169

• anran-world/Anranawsl

  公众号：OMGA，百度云Svip、免费获取优酷vip、芒果vip、B站大会员、腾讯vip、百度网盘Svip、科学上网不限速节点、百度网盘代下载、SS、SSR、V2ray、百度网盘资源更新、百度网盘热门电视剧、电影、每天分享最新的百度网SVIP，迅雷超级会员，爱奇艺VIP会员，优酷VIP会员，哔哩哔哩大会员，百度文库VIP，网易云黑胶VIP，喜马拉雅VIP，千图网VIP ，包图网VIP，摄图网VIP，天眼查VIP，苹果ID等各类VIP帐号，随取随用，完全免费，绝无套路，同时提供：百度文库VIP下载，图库素材VIP下载，学术文献VIP下载（知网维普万方读秀龙源超星，英语数据库，法律数据库，医学数据库，金融数据库），全网视频VIP解析，百度网盘代下载，各种绝版资源汇总，欢迎推荐分享给好友！

  Language:HTML1.8k122

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  314k78.2k

• sdmg15/Best-websites-a-programmer-should-visit

  :link: Some useful websites for programmers.

  66.4k8.1k

• izackwu/TeachYourselfCS-CN

  TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS

  20.1k3.3k

• nevernervous78/nirpyresearch

  Snippets and data from the blog of Nirpy Research

  Language:Jupyter Notebook9380

• zhangys11/qsi-tk

  Language:Jupyter Notebook104

• JingweiToo/Wrapper-Feature-Selection-Toolbox-Python

  This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.

  Language:Python26371

• EBjerrum/Deep-Chemometrics

  Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)

  Language:Jupyter Notebook7318

• pabloczul/hyperspectral_band_selection_clustering

  In this repository various methods to select hyperspectral bands using a clustering strategy will be implemented. These algorithms are based on various research papers that I will be reproducing.

  Language:Jupyter Notebook2

• FuSiry/Wavelength-selection

  Wavelength selection in spectroscopy

  Language:MATLAB734

• susanmeerdink/PLSR_Leaf_Trait_Spectroscopy

  Code for Partial Least Square Regression of Spectroscopy and Leaf traits

  Language:Matlab41

• pgbrodrick/ensemblePLSR

  Wrapper around the scikit-learn PLSR package to provide a PLSR ensemble method. Mimics some of the properties of the R autoPLS package.

  Language:Python66

• zhangjinyangnwpu/HSI_Classification

  Classification for hyperspectral imagery

  Language:Python13134

• Wzysaber/2018paper_code

  paper:Spectral–Spatial Unified Networks for Hyperspectral Image Classification

  Language:Python161