snsunlee's Stars
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
scoliann/GeneticAlgorithmFeatureSelection
A simple example of how a genetic algorithm can be used to select the optimal subset of features to use for machine learning problems.
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
chenyuntc/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
WillKoehrsen/machine-learning-project-walkthrough
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
DeqianBai/Your-first-machine-learning-Project---End-to-End-in-Python
这是一个完整的,端到端的机器学习项目,非常适合有一定基础后拿来练习,以提高对完整机器学习项目的认识
IngramWang/BDCI2017
2017年CCF大数据与计算智能大赛-小超市供销存管理优化
WenDesi/lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
astorfi/TensorFlow-World
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
snowkylin/TensorFlow-cn
简单粗暴 TensorFlow (1.X) | A Concise Handbook of TensorFlow (1.X) | 此版本不再更新,新版见 https://tf.wiki
Jack-Cherish/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
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
apachecn/hands-on-ml-zh
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
fengdu78/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
shadowsocks/shadowsocks-windows
A C# port of shadowsocks
cloudreve/Cloudreve
🌩支持多家云存储的云盘系统 (Self-hosted file management and sharing system, supports multiple storage providers)
helloqingfeng/Awsome-Front-End-learning-resource
:octocat:GitHub最全的前端资源汇总仓库(包括前端学习、开发资源、求职面试等)