(Updated: May 1st ~ 5th, 2020 · Via Weibo Aikeke)

Learning Bioinformatics At Home

【生物信息学学习资源集锦】
'Learning Bioinformatics At Home - resources for learning bioinformatics' by Harvard Informatics
https://github.com/harvardinformatics/learning-bioinformatics-at-home

Some resources gathered by the Harvard Informatics group and other contributors to help people learn bioinformatics tools (basic and specialized) at home.

Awesome-NN-SLAM

【神经网络SLAM文献大列表】
SLAM algorithms and systems based on Neural Networks by Feng Gao
https://github.com/UltronAI/awesome-nn-slam

This repo is used to record algorithms constructed by neural networks, either about a complete SLAM system, or part of it.

Topics: SLAM System, Self-supervised Structure-from-Motion, Depth Estimation, Visual Odometry, Visual-Inertial Odometry, Feature Representation, Camera Location, Place Recognition (Loop Detection)
Mapping and Map Compression, Optimization.

Bite Size Bayes

【Python/R贝叶斯统计实例教程】
'Bite Size Bayes - An introduction to Bayesian statistics using Python and (coming soon) R.' by Allen Downey

https://allendowney.github.io/BiteSizeBayes/
https://github.com/AllenDowney/BiteSizeBayes

Bite Size Bayes is an introduction to Bayesian statistics using Python and (coming soon) R. It does not assume any previous knowledge of probability or Bayesian methods.

Mathematics for Machine Learning

【免费书:机器学习数学基础】
《Mathematics for Machine Learning》by Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong (2019)

https://mml-book.com/

Deep learning with graph-structured representations

【博士论文:图结构表示深度学习】
《Deep learning with graph-structured representations》by T.N. Kipf(Thomas Kipf)

https://dare.uva.nl/search?identifier=1b63b965-24c4-4bcd-aabb-b849056fa76d

Free Textbooks and Library Link special issue during Covid 19

【Springer计算机科学免费书大列表(Python/深度学习/机器学习)】
“Free Textbooks and Library Link special issue during Covid 19”

https://link.springer.com/search?facet-content-type=%22Book%22&package=mat-covid19_textbooks&facet-discipline=%22Computer+Science%22

Mapillary Street-level Sequences Dataset

【Mapillary街景级序列数据集:超过160万张图片,横跨六大洲30个主要城市,所有图像标注了序列信息、GPS地理定位及罗盘角信息】
“Mapillary Street-level Sequences Dataset”
The largest and most diverse dataset for lifelong place recognition from image sequences in urban and suburban settings.

https://www.mapillary.com/dataset/places

Distributed Systems - CSE138, Spring 2020

【UCSC(加州大学圣克鲁兹分校)《分布式系统》课程 (2020)《分布式系统》课程(2020)】
《Distributed Systems - CSE138, Spring 2020》by Lindsey Kuper
http://composition.al/CSE138-2020-03/index.html
https://www.youtube.com/playlist?list=PLNPUF5QyWU8O0Wd8QDh9KaM1ggsxspJ31
https://www.bilibili.com/video/BV1Ba4y1i7Tf/

NLP Paper - natural language processing paper list

【按主题分类的自然语言处理文献大列表】
'NLP Paper - natural language processing paper list' by changwookjun

https://github.com/changwookjun/nlp-paper

Visual Machine Learning Notes

【机器学习手写笔记集】
《Visual Machine Learning Notes》by Robert Tjarko Lange

https://visual-ml-notes.github.io/
https://github.com/visual-ml-notes/visual-machine-learning-notes

A Large Dataset of Historical Japanese Documents with Complex Layouts

【日本历史文献版式大型数据集】
《A Large Dataset of Historical Japanese Documents with Complex Layouts》Z Shen, K Zhang, M Dell [Harvard University] (2020)

https://arxiv.org/abs/2004.08686
https://www.arxiv-vanity.com/papers/2004.08686
https://dell-research-harvard.github.io/HJDataset/

The British Museum Puts 1.9 Million Works of Art Online

【大英博物馆在网上展出190万件艺术品,可免费使用(Creative Commons 4.0 license)】
《The British Museum Puts 1.9 Million Works of Art Online | Open Culture》

http://www.openculture.com/2020/04/the-british-museum-puts-1-9-million-works-of-art-online.html

RL Insights

【深入强化学习】
“RL Insights” by Florian
https://masterscrat.github.io/rl-insights/

Solutions of Reinforcement Learning 2nd Edition

【强化学习导论第二版参考答案】
'Solutions of Reinforcement Learning 2nd Edition (Original Book by Richard S. Sutton,Andrew G. Barto) - Solutions of Reinforcement Learning, An Introduction' by YIFAN WANG

https://github.com/LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

DataHub

【DataHub:通用元数据搜索与发现工具】
'DataHub: A Generalized Metadata Search & Discovery Tool ' by LinkedIn
https://github.com/linkedin/datahub

Awesome Work on Gaze Estimation

【目光/注视估计/检测相关工作大列表】
'Awesome Work on Gaze Estimation' by Computer Vision Research @ University of Birmingham
https://github.com/cvlab-uob/Awesome-Gaze-Estimation

Reading list for Awesome Sentiment Analysis papers
【情感分析论文大列表】
'Reading list for Awesome Sentiment Analysis papers' by Deep Cognition and Language Research (DeCLaRe) Lab

https://github.com/declare-lab/awesome-sentiment-analysis

VisDA2020: 4th Visual Domain Adaptation Challenge

【VisDA2020:第四届视觉领域适应挑战】
'VisDA2020: 4th Visual Domain Adaptation Challenge' by Simon4Yan

http://ai.bu.edu/visda-2020/
https://github.com/Simon4Yan/VisDA2020

ELLIS Workshop on Geometric and Relational Deep Learning

【阿姆斯特丹“几何与关系深度学习”研讨会视频集锦】
“ELLIS Workshop on Geometric and Relational Deep Learning - Amsterdam, 24 April 2020”

https://geometric-relational-dl.github.io/

SAIL at ICLR 2020: Accepted Papers and Videos

【斯坦福AI实验室ICLR 2020成果汇总】
《SAIL at ICLR 2020: Accepted Papers and Videos》

http://ai.stanford.edu/blog/iclr-2020/

Guide how to learn and master computer vision in 2020

【2020计算机视觉学习指南】
《Guide how to learn and master computer vision in 2020》by Insaf Ashrapov
https://towardsdatascience.com/guide-to-learn-computer-vision-in-2020-36f19d92c934

Facebook Research at ICASSP 2020

【Facebook ICASSP 2020 成果汇总】
《Facebook Research at ICASSP 2020》
https://ai.facebook.com/blog/facebook-research-at-icassp-2020

AI Memes

【AI自动生成的Memes】
“AI Memes - This Meme Does Not Exist | Imgflip”
https://imgflip.com/ai-meme

Determined: Deep Learning Training Platform

【Determined:深度学习训练平台】
'Determined: Deep Learning Training Platform' by Determined AI
https://github.com/determined-ai/determined

AI Infrastructure for Everyone, Now Open Source
https://determined.ai/blog/ai-infrastructure-for-everyone/

Jukebox: A Generative Model for Music

【OpenAI的“音乐点唱机”:可以用流派、艺术家和歌词作为输入来生成音乐,效果相当不错】
“Jukebox - a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles”

https://cdn.openai.com/papers/jukebox.pdf
https://openai.com/blog/jukebox/
https://github.com/openai/jukebox/