4.1 教程

教程 #

基础 #

【视频】李宏毅 2021/2022 春机器学习课程 #

【视频】吴恩达机器学习系列课程 #

【视频】吴恩达深度学习 deeplearning.ai #

【视频】林轩田机器学习基石 #

【视频】机器学习技法(林轩田) #

Fafa-DL/Lhy_Machine_Learning Github stars Github forks Language Last Tag Last commit #

李宏毅 2021 春季机器学习课程课件及作业

microsoft/ML-For-Beginners Github stars Github forks Language Last Tag Last commit #

Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 26-lesson curriculum all about Machine Learning.

Avik-Jain/100-Days-Of-ML-Code Github stars Github forks Language Last Tag Last commit #

MLEveryday/100-Days-Of-ML-Code Github stars Github forks Language Last Tag Last commit #

机器学习 100 天

llSourcell/Learn_Machine_Learning_in_3_Months Github stars Github forks Language Last Tag Last commit #

This is the code for “Learn Machine Learning in 3 Months” by Siraj Raval on Youtube

FudanNLP/nlp-beginner Github stars Github forks Language Last Tag Last commit #

NLP-Beginner:自然语言处理入门练习


进阶 #

dive into deep learning #

d2l-ai/d2l-en Github stars Language Last Tag Last commit

动手学深度学习 #

d2l-ai/d2l-zh Github stars Github forks Language Last Tag Last commit

将《动手学深度学习》(Dive into Deep Learning) 原书中的 MXNet 实现改为 PyTorch 实现 #

ShusenTang/Dive-into-DL-PyTorch Github stars Language Last Tag Last commit

将《动手学深度学习》(Dive into Deep Learning)原书中的 MXNet 实现改为 TensorFlow 2.0 实现 #

TrickyGo/Dive-into-DL-TensorFlow2.0 Github stars Language Last Tag Last commit


动手学强化学习 #

boyu-ai/Hands-on-RL Github stars Github forks Language Last Tag Last commit


手写实现李航《统计学习方法》书中全部算法 #

dod-o/statistical-learning-method_code Github stars Language Last Tag Last commit


机器学习白板推导系列 #

shuhuai007/machine-learning-session Github stars Language Last Tag Last commit

【视频】【机器学习】【白板推导系列】【合集 1 ~ 23】

机器学习白板系列 笔记 #

tsyw/MachineLearningNotes Github stars Language Last Tag Last commit

Bilibili - 机器学习白板系列


josephmisiti/awesome-machine-learning Github stars #


ZuzooVn/machine-learning-for-software-engineers Github stars Github forks Language Last Tag Last commit #

A complete daily plan for studying to become a machine learning engineer.

自上而下的学习路线:软件工程师的机器学习


ageron/handson-ml Github stars Github forks Language Last Tag Last commit #

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.


fighting41love/funNLP Github stars Github forks Language Last Tag Last commit #

NLP 民工的乐园:几乎最全的中文 NLP 资源库


eriklindernoren/ML-From-Scratch Github stars #

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.


trekhleb/homemade-machine-learning Github stars #

Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.


kailashahirwar/cheatsheets-ai Github stars #

Essential Cheat Sheets for deep learning and machine learning researchers

https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

https://aicheatsheets.com


rasbt/python-machine-learning-book Github stars #

The “Python Machine Learning (1st edition)” book code repository and info resource


afshinea/stanford-cs-229-machine-learning #

!Github stars

VIP cheatsheets for Stanford’s CS 229 Machine Learning https://stanford.edu/~shervine/teaching/cs-229/


ujjwalkarn/Machine-Learning-Tutorials Github stars #

machine learning and deep learning tutorials, articles and other resources http://ujjwalkarn.github.io/Machine-Learning-Tutorials/


janishar/mit-deep-learning-book-pdf Github stars #

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

斯坦福大学 2014(吴恩达)机器学习教程中文笔记 #

fengdu78/Coursera-ML-AndrewNg-Notes Github stars Language Last Tag Last commit


进阶 #

christophm/interpretable-ml-book Github stars #

Book about interpretable machine learning https://christophm.github.io/interpretable-ml-book/

mingchaozhu/interpretablemlbook Github stars #

该书为《Interpretable Machine Learning》中文版。该书原作者是 Christoph Molnar,他是一名统计学家和机器学习者 @christophM。该书的项目  地址,这是一个很棒的工作。你可以在 releases 中下载本书英文版  pdf

我是 朱明超,同样,我也是一名机器学习者。关于此书的译本,我在翻译后进行了校正。如果你在英文原书中看到某些表述问题,可以参考我在中文书里的描述。当然,由于英文原书是较早前出版的,本书并不是完全基于英文书,作者 Christoph Molnar 在《Interpretable Machine Learning》的  网页版  中对内容不断填充,所以中文版的翻译主要基于网页版 (内容会多于英文书)。你可以在 releases 中下载本书中文版  pdf


hangtwenty/dive-into-machine-learning Github stars #

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! http://hangtwenty.github.io/dive-into-machine-learning/


RedditSota/state-of-the-art-result-for-machine-learning-problems Github stars #

This repository provides state of the art (SoTA) results for all machine learning problems.


scutan90/DeepLearning-500-questions Github stars #

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

rushter/MLAlgorithms Github stars #

Minimal and clean examples of machine learning algorithms implementations



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