zhangyueucas's Stars
zhangyueucas/lihang-code
《统计学习方法》的代码实现
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
jobbole/awesome-cpp-cn
C++ 资源大全中文版,标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。
sfinch/TwoCoax
sfinch/TwoClover
Geant4 simulation of two clover HPGe detectors
maicss/PyQt-Chinese-tutorial
PyQt6中文教程
WassimTenachi/PhySO
Physical Symbolic Optimization
paulscherrerinstitute/PSIPositronProduction
wjxway/Realistic_Blackhole_Accretion_Disk
A program which could generate highly realistic accretion disk around a Schwarzschild blackhole
radiating/psd_neutron_gamma
Distinguish neutron and gamma events using machine learning KNN and SVM algorithms for Helium-4 neutron detectors
Charmve/CppMaster
C++ Master Learning Roadmap, especially for AIoT and C++ advanced SWE
SmileiPIC/Smilei
Particle-in-cell code for plasma simulation
ComputationalRadiationPhysics/picongpu
Performance-Portable Particle-in-Cell Simulations for the Exascale Era :sparkles:
jintonic/mingle
Mini Geant4 Learning Example
claydergc/find-peaks
Algorithm to find peaks in a std::vector<float>
xuphys/peakdetect
Peak detection in a wave
anzhi998/findpeaks
matlab findpeaks(signal,'minpeakdistance",d) in C++
erdogant/findpeaks
The detection of peaks and valleys in a 1d-vector or 2d-array (image)
wuhongyi/PKU_CAENDesktopDigitizer
Hongyi Wu(吴鸿毅) CAEN Desktop Digitizer
jackfrued/Python-Core-50-Courses
Python语言基础50课
fengdu78/lihang-code
《统计学习方法》的代码实现
yuanguangxin/LeetCode
LeetCode刷题记录与面试整理
Kr1s77/awesome-python-login-model
😮python模拟登陆一些大型网站,还有一些简单的爬虫,希望对你们有所帮助❤️,如果喜欢记得给个star哦🌟
dense-analysis/ale
Check syntax in Vim/Neovim asynchronously and fix files, with Language Server Protocol (LSP) support
fengdu78/deeplearning_ai_books
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
fengdu78/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Mikoto10032/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
lib-pku/libpku
贵校课程资料民间整理
jackfrued/Python-100-Days
Python - 100天从新手到大师