[更新中] Robotics 和 CV方向以及相关学术资料汇总

2019-08-16  本文已影响0人  He_Yu

Robotics

对互信息的思考 Thoughts on Mutual Information: Formal Limitations

旋转矩阵、欧拉角、四元数理论及其转换关系

OpenCV进行标定(Python)

OpenCV入门

OpenCV 2.3.16官方文档

OpenCV中Mat的详解

OpenCV中Mat与数组(一维或者二维)的相互转换

OpenCV实现Mat与vector,Mat与数组互转

OpenCV矩阵运算总结

Opencv中Mat矩阵相乘——点乘、dot、mul运算详解

C++快速入门

RGB-D SLAM 快速上手

ROS 官方文档

ROS机器人操作系统入门-中国大学MOOC

ROS机器人开发案例

ROS机器人操作系统开发视频教程进阶

Programming for Robotics (ROS) Course[需要科学上网]

How to Learn Robotics

Computer Version

个人深度学习研究者一年的思考 What I learned from spending a year asa solo machine learning researcher

OpenCV-Python图像处理教程

Data Science at the Command Line

机器学习笔记

【(CS231N)Python Numpy教程】Python Numpy Tutorial by Justin Johnson

【深度学习免费电子书大列表】’Free Deep Learning Books - A curated collection of free Deep Learning related eBooks' by Olwethu Ntiyonke GitHub

【神经网络架构搜索文献列表】《Literature on Neural Architecture Search》

【机器学习超级笔记:基本概念、算法、流行模型等】“Super Machine Learning Revision Notes | CreateMoMo”

【卷积网络入门指南】《Beginners Guide to Convolutional Neural Networks》by Sabina Pokhrel

【神经网络梯度学习探究】《A Deeper Look into Gradient Based Learning for Neural Networks》by Shivang Trivedi

【免费书:图模型手册】《Handbook of Graphical Models》

《ICLR 2020 Conference | OpenReview》

学术写作指导及有用的小工具

Command line tool for common video manipulations

一个自动全文下载SCI-HUB论文的插件 A plugin that will automatically download PDFs of zotero items from sci-hub

四个向非技术听众传达技术观点的4个小技巧4 Tips For Communicating Technical Ideas to a Non-tech Audience

Python代码运行可执行工具

Tex 代码拼写语法检查工具TeXtidote: a correction tool for LaTeX documents and other formats

本科生实习机会列表

浅谈AI落地 Shift AI models to real world products

The Art of C++ A collection of high-quality C++ libraries

Baidu云盘搜索工具 大力盘

Interpretable Machine Learning A Guide for Making Black Box Models Explainable.

【科研写作:常用句子模板集】Research Writing: Starter Phrases

【数学写作指南】Guidelines for Good Mathematical Writing

【医疗(图像)数据集大列表】List of Medical Datasets - tracking medical datasets, with a focus on medical imaging by Adrian Dalca

【LemmInflect:Python英文词干化/词形还原库】LemmInflect - A python module for English lemmatization and inflection by Brad Jascob

互联网上的免费书籍汇总 by Ruan YiFeng

【论文背景章节的撰写】《Writing the Background Chapters of Your Thesis》by Brian Paltridge

【GeoGebra:几何、代数、统计、微积分的免费在线数学工具】GeoGebra | Free Math Apps - Get our free online math tools for graphing, geometry, 3D, and more

【新书:敏捷机器学习——受敏捷宣言启发的高效机器学习】《Agile Machine Learning - Effective Machine Learning Inspired by the Agile Manifesto》by Eric Carter (Apress 2019) 需购买

【撰写论文常用英语短语】《English for Writing Research Papers Useful Phrases》

【学用英语——看看说英语的人是否真会这么讲(基于Reddit)】“Do people say it - find out if English native speakers actually say it”

【神经网络训练技巧:黑客视角】《Training Neural Nets: a Hacker’s Perspective》by Sayak Paul

【学生优惠权益集锦】 by ivmm GitHub

【comby:高效代码批量正则替换工具】’comby - A tool for changing code across many languages.' GitHub

【程序员编程面试百问】《100+ Coding Interview Questions for Programmers》by javinpaul

【如何向投资人和客户展示你的产品】《How to present your product to investors and customers》by Oyper.aiOyper.ai

【Python一个月从入门到精通】《Learn and Master Python in a Month》by Jhankar Mahbub pdf

【免费电子书:希望我在学编程之前就了解的那些事】《What I Wish I Knew Before I Learned to Code》by Ali Spittel

【Python内存管理指南】《Memory Management in Python》by Jun Wu

【用好Jupyter Notebooks的四大技巧】《4 Awesome Tips for Enhancing Jupyter Notebooks》by George Seif

"算法工程师面试题整理" by PPshrimpGo GitHub:

'反向面试 - 技术面试最后反问面试官的话' by Yifei Kong GitHub

【持续学习/终身学习相关资源大列表】’awesome-continual-learning / awesome-lifelong-learning - A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning' by prprbr GitHub

【Jekyll风格简历模板】’Orbit - A minimal Jekyll Theme to host your resume (CV)' by sharath Kumar GitHub

【30秒读懂Python技巧代码段大列表】’30 seconds of Python - A curated collection of useful Python snippets that you can understand in 30 seconds or less.' GitHub

【论学术创造力】《Creativity in Academia — Why you are more creative than you think》by Tim Dettmers

【概率矩阵分解】《Probabilistic Matrix Factorisation》by Mohammed Terry-Jack

【从读者角度思考科研写作:8个技巧反思论文意义和贡献】《Sitting in Your Reader’s Chair - Attending to Your Academic Sensemakers》by Linda M. Johanson

【数据科学家需要了解的(Python) 多进程 vs. 多线程 知识】《Multiprocessing vs. Threading in Python: What Every Data Scientist Needs to Know》by Sumit Ghosh

'Awesome-algorithm-interview - 算法工程师(人工智能CV方向)面试问题及相关资料' by Chengyang Li GitHub

【无人驾驶的未来蓝图】《The Future Landscape of Autonomous Vehicles - YouTube》by Lex Fridman

【sh脚本宝典】’pure sh bible - A collection of pure POSIX sh alternatives to external processes.' by black GitHub

【从摘要到论文:学术写作简化指南】《Turning Your Abstract into a Paper: Academic Writing Made Simpler》by Mark I. Langdorf, Stephen R. Hayden

【学位论文文献综述撰写指南】《A Guide to Writing the Dissertation Literature Review》by Justus J. Randolph

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