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algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

coursera-machine-learning

Coursera's Machine Learning by Andrew Ng

cs-notes

:books: 技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计

cs229

Stanford CS229 (Autumn 2017)

cs229_ml

🍟 Stanford CS229: Machine Learning

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

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。

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

learn_machine_learning

机器学习的一些学习笔记

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

machine-learning-coursera

Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.

machine-learning-coursera-1

This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.

ml-workshop-3-of-4

Advanced Machine Learning with Scikit-learn part I

ntu-hsuantienlin-machinelearning

opencv

Open Source Computer Vision Library

pottslab

Multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)

pyod

A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)

scikit-learn

scikit-learn: machine learning in Python

scikit-learn-doc-zh

scikit-learn（sklearn） 官方文档中文版

static_study

《统计学习方法》的读书笔记，重现了大部分的课后题，仅供参考。

statistical-learning-method

《统计学习方法》笔记-基于Python算法实现

studyfiles

一些经典且高质量的电子书分享

superpixels-revisited

Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.

unity

Simple Unit Testing for C