ying8080 Goto Github PK

ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

awesome-computer-vision

A curated list of awesome computer vision resources

coursera-applied-data-science-with-python

Repository for coursera specialization Applied Data Science with Python by University of Michigan

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

cs231nassignment

Stanford CS231n assignment in 2019 spring

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”教材。

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

deep-learning-book-chapter-summaries

Attempting to make the Deep Learning Book easier to understand.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

dimensionality_reduction_alo_codes

PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

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。

halfrost-field

✍️ 这里是写博客的地方 —— Halfrost-Field 冰霜之地

introduction-to-data-science-in-python

Assignments and Resources for Introduction to Data Science in Python course on Coursera by University of Michigan

kdepy

Kernel Density Estimation in Python

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

lihang-code

《统计学习方法》的代码实现

machine-learning

机器学习&深度学习资料笔记&基本算法实现&资源整理 / Everything about Machine Learning & Deep Learning

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-notes

周志华《机器学习》手推笔记

machine-learning-session

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

ntu_ml2017_hung-yi-lee_hw

NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

python-natural-language-processing

Python Natural Language Processing, published by Packt