Pinned Repositories
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Amazon-AWS-SAA-C02
My study material and notes for taking the AWS SAA-C02 exam
aws
aws saa-c02考试新版题解
AWS-SAA-C02-Study-Guide
How to become a certified AWS Solutions Architect
Cpp-0-1-Resource
C++ 匠心之作 从0到1入门资料
d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论(STAT 157)”教材。
Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
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
Machine-learning-in-action
个人使用jupyter notebook整理的peter的《机器学习实战》代码,使其更有层次感,更加连贯,也加了一些自己的修改,以及注释
tips
work tips
shinkoryo's Repositories
shinkoryo/aws
aws saa-c02考试新版题解
shinkoryo/shinkoryo.github.io
shinkoryo/Salesforce-Books
shinkoryo/AWS-SAA-C02-Study-Guide
How to become a certified AWS Solutions Architect
shinkoryo/Amazon-AWS-SAA-C02
My study material and notes for taking the AWS SAA-C02 exam
shinkoryo/test
shinkoryo/python3-source-code-analysis
《Python 3 源码剖析》
shinkoryo/OnJava8
《On Java 8》中文版,又名《Java编程**》 第5版
shinkoryo/linuxtools_rst
Linux工具快速教程
shinkoryo/slate
Slate is a Jekyll theme for GitHub Pages
shinkoryo/deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
shinkoryo/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
shinkoryo/tips
work tips
shinkoryo/Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
shinkoryo/Cpp-0-1-Resource
C++ 匠心之作 从0到1入门资料
shinkoryo/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论(STAT 157)”教材。
shinkoryo/math_for_ai
shinkoryo/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
shinkoryo/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
shinkoryo/numpy-ml
Machine learning, in numpy
shinkoryo/faceai
一款入门级的人脸、视频、文字检测以及识别的项目.
shinkoryo/python_data_structures_and_algorithms
Python 中文数据结构和算法教程
shinkoryo/helloflask
《Flask Web 开发实战》Meta 仓库
shinkoryo/learning-pytest
Tuturial of pytest
shinkoryo/Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
shinkoryo/wiki
shinkoryo/Machine-learning-in-action
个人使用jupyter notebook整理的peter的《机器学习实战》代码,使其更有层次感,更加连贯,也加了一些自己的修改,以及注释