sakura-rain Goto Github PK

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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

coursera-dl

Script for downloading Coursera.org videos and naming them.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

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。

data-science-notes

数据科学的笔记以及资料搜集

deep-reinforcement-learning

Code of the book <Deep Reinforcement Learning: Principles and Practices>

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。

drlpytorch

Pytorch for Deep Reinforcement Learning

endnote_tutorial_hand_by_hand

手把手教你使用 EndNote X9/NoteExpress

hands-on-machine-learning-with-sklearn-tensorflow

hello-world

hipify-torch

lihang-code

《统计学习方法》的代码实现

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

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_study_path

机器学习过程中所看的书，视频和源码

meta-rl

Implementation of Meta-RL A3C algorithm

ml-in-action-code-and-note

:chart_with_upwards_trend:Machine Learning code in Python3.x. （机器学习实战 py3代码整理）Some notes about the practices:（for reference only）

mlia-python3

Meachine Learning in Action,python3.机器学习实战，python3版本。

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

notehighlight2016

Source code syntax highlighting for OneNote 2016. NoteHighlight 2013 port for OneNote 2016 (32-bit and 64-bit)

ntu-hsuantienlin-machinelearning

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

zotfile

Zotero plugin to manage your attachments: automatically rename, move, and attach PDFs (or other files) to Zotero items, sync PDFs from your Zotero library to your (mobile) PDF reader (e.g. an iPad, Android tablet, etc.), and extract PDF annotations.