Awesome List Updates on May 19, 2016
15 awesome lists updated today.
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1. Awesome Fonts
Programming fonts / Fonts
2. Awesome Book Authoring
Personal Experiences, Post Mortems and Campfire Stories
3. Awesome Typescript
Offline / Visual Studio
- Visual Studio Community Edition 2015 - free (conditionally) IDE with integrated TypeScript support
- VS Addon - TypescriptSyntaxPaste - Allow you to copy C# source code, then paste as Typescript syntax which help you with converting DTO or interface
Offline / Other (Plugins || Cross-platform || OSS || Free)
- CATS is an IDE for TypeScript and Web developers by @jbaron
- TypeScript Sublime Plugin (⭐1.7k) by @Microsoft
- Atom TypeScript (⭐1.1k) by @TypeStrong
- TypeScript Interactive Development Environment for Emacs (⭐1.4k) by @ananthakumaran
Online / Playground
- JS Bin (Select TypeScript)
- Codepen (Select TypeScript)
- TypeScript Interpret - Terminal Emulator by @niutech
- TypeScript Editor by @drake7707
4. Awesome Transit
Reference resources
- TransitWiki community wiki for transit planners. Like this repo, but better.
Community
5. Awesome Swift
Other Awesome Lists
- open-source-ios-apps (⭐41k) - A collaborative list of open-source iOS Apps.
API
- PXGoogleDirections (⭐269) - Google Directions API helper.
- reddift (⭐242) - reddit API wrapper.
Key Value Store
- Storez (⭐67) - Safe, statically-typed, store-agnostic key-value storage.
Other Data
- EVCloudKitDao (⭐643) - Simplified access to CloudKit with support for subscriptions and local caching.
Auto Layout / Barcode
- PureLayout (⭐7.6k) - The ultimate API for iOS & OS X Auto Layout.
HTML / Barcode
- Fuzi (⭐1.1k) - A fast & lightweight XML/HTML parser with XPath & CSS support.
Menu / Barcode
- MenuItemKit (⭐850) -
UIMenuItemwith image and block (closure) support.
6. Awesome Deep Vision
ImageNet Classification
- Microsoft (Deep Residual Learning) [Paper][Slide]
- Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Deep Residual Learning for Image Recognition, arXiv:1512.03385.
- Microsoft (PReLu/Weight Initialization) [Paper]
- Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification, arXiv:1502.01852.
- Batch Normalization [Paper]
- Sergey Ioffe, Christian Szegedy, Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift, arXiv:1502.03167.
- GoogLeNet [Paper]
- Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich, CVPR, 2015.
- AlexNet [Paper]
- Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton, ImageNet Classification with Deep Convolutional Neural Networks, NIPS, 2012.
Video Classification
- Nicolas Ballas, Li Yao, Pal Chris, Aaron Courville, "Delving Deeper into Convolutional Networks for Learning Video Representations", ICLR 2016. [Paper]
- Michael Mathieu, camille couprie, Yann Lecun, "Deep Multi Scale Video Prediction Beyond Mean Square Error", ICLR 2016. [Paper]
Object Tracking
- Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han, Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network, arXiv:1502.06796. [Paper]
- Hanxi Li, Yi Li and Fatih Porikli, DeepTrack: Learning Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking, BMVC, 2014. [Paper]
- N Wang, DY Yeung, Learning a Deep Compact Image Representation for Visual Tracking, NIPS, 2013. [Paper]
Low-Level Vision / Super-Resolution
- Super-Resolution (SRCNN) [Web] [Paper-ECCV14] [Paper-arXiv15]
- Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang, Learning a Deep Convolutional Network for Image Super-Resolution, ECCV, 2014.
- Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang, Image Super-Resolution Using Deep Convolutional Networks, arXiv:1501.00092.
- Others
- Osendorfer, Christian, Hubert Soyer, and Patrick van der Smagt, Image Super-Resolution with Fast Approximate Convolutional Sparse Coding, ICONIP, 2014. [Paper ICONIP-2014]
Low-Level Vision / Other Applications
- Compression Artifacts Reduction [Paper-arXiv15]
- Chao Dong, Yubin Deng, Chen Change Loy, Xiaoou Tang, Compression Artifacts Reduction by a Deep Convolutional Network, arXiv:1504.06993.
Semantic Segmentation / Other Applications
- PASCAL VOC2012 Challenge Leaderboard (01 Sep. 2016)
(from PASCAL VOC2012 leaderboards)
- Alex Kendall, Vijay Badrinarayanan and Roberto Cipolla "Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding." arXiv preprint arXiv:1511.02680, 2015. [Paper]
Understanding CNN / Other Applications
- Matthrew Zeiler, Rob Fergus, Visualizing and Understanding Convolutional Networks, ECCV, 2014. [Paper]
Image and Language / Image Captioning
- UCLA / Baidu [Paper]
- Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille, Explain Images with Multimodal Recurrent Neural Networks, arXiv:1410.1090.
- Toronto [Paper]
- Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel, Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models, arXiv:1411.2539.
- Berkeley [Paper]
- Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell, Long-term Recurrent Convolutional Networks for Visual Recognition and Description, arXiv:1411.4389.
- Google [Paper]
- Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan, Show and Tell: A Neural Image Caption Generator, arXiv:1411.4555.
- Stanford [Web] [Paper]
- Andrej Karpathy, Li Fei-Fei, Deep Visual-Semantic Alignments for Generating Image Description, CVPR, 2015.
- CMU / Microsoft [Paper-arXiv] [Paper-CVPR]
- Xinlei Chen, C. Lawrence Zitnick, Learning a Recurrent Visual Representation for Image Caption Generation, arXiv:1411.5654.
- Xinlei Chen, C. Lawrence Zitnick, Mind’s Eye: A Recurrent Visual Representation for Image Caption Generation, CVPR 2015
- Microsoft [Paper]
- Hao Fang, Saurabh Gupta, Forrest Iandola, Rupesh Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig, From Captions to Visual Concepts and Back, CVPR, 2015.
- Univ. Montreal / Univ. Toronto [Web] [Paper]
- Kelvin Xu, Jimmy Lei Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard S. Zemel, Yoshua Bengio, Show, Attend, and Tell: Neural Image Caption Generation with Visual Attention, arXiv:1502.03044 / ICML 2015
- Idiap / EPFL / Facebook [Paper]
- Remi Lebret, Pedro O. Pinheiro, Ronan Collobert, Phrase-based Image Captioning, arXiv:1502.03671 / ICML 2015
- UCLA / Baidu [Paper]
- Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille, Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images, arXiv:1504.06692
- MS + Berkeley
- Jacob Devlin, Saurabh Gupta, Ross Girshick, Margaret Mitchell, C. Lawrence Zitnick, Exploring Nearest Neighbor Approaches for Image Captioning, arXiv:1505.04467 [Paper]
- Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell, Language Models for Image Captioning: The Quirks and What Works, arXiv:1505.01809 [Paper]
- Adelaide [Paper]
- Qi Wu, Chunhua Shen, Anton van den Hengel, Lingqiao Liu, Anthony Dick, Image Captioning with an Intermediate Attributes Layer, arXiv:1506.01144
- Tilburg [Paper]
- Grzegorz Chrupala, Akos Kadar, Afra Alishahi, Learning language through pictures, arXiv:1506.03694
- Cornell [Paper]
- Jack Hessel, Nicolas Savva, Michael J. Wilber, Image Representations and New Domains in Neural Image Captioning, arXiv:1508.02091
- MS + City Univ. of HongKong [Paper]
- Ting Yao, Tao Mei, and Chong-Wah Ngo, "Learning Query and Image Similarities with Ranking Canonical Correlation Analysis", ICCV, 2015
Other Topics / Question Answering
- Visual Analogy [Paper]
- Scott Reed, Yi Zhang, Yuting Zhang, Honglak Lee, Deep Visual Analogy Making, NIPS, 2015
Framework / Question Answering
- Tensorflow: An open source software library for numerical computation using data flow graph by Google [Web]
- Caffe: Deep learning framework by the BVLC [Web]
- Theano: Mathematical library in Python, maintained by LISA lab [Web]
- Theano-based deep learning libraries: [Pylearn2], [Blocks (⭐1.2k)], [Keras], [Lasagne (⭐3.8k)]
Tutorials / Question Answering
- [CVPR 2014] Tutorial on Deep Learning in Computer Vision
7. Awesome Elixir
Images
- eikon (⭐12) - An Elixir library providing a read-only interface for image files.
8. Awesome Mongodb
Tools / Monitoring
- check_mongodb (⭐15) - Nagios plugin (in Bash)
- nagios-plugin-mongodb (⭐347) - Nagios plugin (in Python)
9. Awesome Php
Configuration / Miscellaneous
- noCAPTCHA (⭐358) - Helper for Google's noCAPTCHA (reCAPTCHA).
10. Awesome Aws
SDKs and Samples / PHP SDK
11. Awesome Beacon
Eddystone by Google
- [Eddystone GATT Configuration Service & Google Nearby API and Proximity API](* ) (by Nordic Semiconductor)
Physical Web
iBeacon for Developers
- Empowering vision impaired people to navigate the world independently (an open standard)
Swift
Stackoverflow Q&A
12. Awesome Competitive Programming
Open Courses
☆: ★★☆
Name: Reykjavik T-414-ÁFLV: A Competitive Programming Course
Description: An awesome course taught by Bjarki Ágúst Guðmundsson (SuprDewd). These lectures feature neat slides and a nice list of problems to practice.
Open Courses / Open Courses for Algorithms and Data Structures
☆: ★★★
Name: prakhar1989/awesome-courses#algorithms (⭐55k)
Description: A fantastic list of open courses offered by notable institutions (MIT, Stanford, UC Berkeley ... etc.).
Books / Open Courses for Algorithms and Data Structures
☆: ★★☆
Name: 算法竞赛入门经典 (Chinese), by 刘汝佳
Description: The Art of Algorithms and Programming Contests (English), 打下好基礎：程式設計與演算法競賽入門經典 (Chinese Traditional)
☆: ★★☆
Name: 算法竞赛入门经典——训练指南 (Chinese), by 刘汝佳, 陈锋
Description: 提升程式設計的解題思考力─國際演算法程式設計競賽訓練指南 (Chinese Traditional)
Books / Books for Algorithms
☆: ★★★
Name: Introduction to Algorithms, by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein
Description: Also known as CLRS (taken from name initials), this book is often referred to as the "bible" for algorithms and data structures. It's one of the most popular textbooks for university algorithm courses. This book covered various algorithms and data structures in great detail. The writing is more rigorous and can be difficult to some.
Sites for Practice / Books for Mathematics
☆: ★★☆
Name: CodeChef
Description: CodeChef is a non-profit educational initiative of Directi. It's a global competitive programming platform and has a large community of programmers that helps students and professionals test and improve their coding skills. Its objective is to provide a platform for practice, competition and improvement for both students and professional software developers. Apart from this, it aims to reach out to students while they are young and inculcate a culture of programming in India.
☆: ★★☆
Name: Timus
Description: Timus Online Judge is the largest Russian archive of programming problems with automatic judging system. Problems are mostly collected from contests held at the Ural Federal University, Ural Championships, Ural ACM ICPC Subregional Contests, and Petrozavodsk Training Camps.
☆: ★☆☆
Name: HDU
Description: HDU is an online judge maintained by Hangzhou Dianzi University. It's home to many classic problems from the Chinese IOI scene.
☆: ★★☆
Name: HackerRank
Description: HackerRank is a company that focuses on competitive programming challenges for both consumers and businesses. HackerRank's programming challenges can be solved in a variety of programming languages and span multiple computer science domains.
☆: ★★☆
Name: Project Euler
Description: Project Euler features a stunning set of good math problems. It also hosts a forum where people can discuss.
☆: ★☆☆
Name: Hackerearth
Description: HackerEarth is a startup technology company based in Bangalore, India that provides recruitment solutions.
Sites for Practice / Problem Classifiers
☆: ★★★
Name: A2 Online Judge
Description: Mixed
☆: ★★★
Name: Problem Classifier
Description: SPOJ
☆: ★★☆
Name: UVa Online Judge
Description: CP Book
☆: ★★☆
Name: Lucky貓的 UVA（ACM）園地 (Chinese)
Description: UVa
Sites for Practice / Contest Calendars
☆: ★★☆
Name: Coding Calendar (Android App)
Description:
☆: ★★☆
Name: Coder's Calendar (⭐340): Android App, Chrome Extension, Firefox Add-on
Description:
13. Awesome Tensorflow
Books
- First Contact with TensorFlow by Jordi Torres, professor at UPC Barcelona Tech and a research manager and senior advisor at Barcelona Supercomputing Center
- Deep Learning with Python - Develop Deep Learning Models on Theano and TensorFlow Using Keras by Jason Brownlee
14. Awesome AutoHotkey
GUI / Custom Controls
- Rebar (⭐15) - by Pulover - AHK class for AutoHotkey Rebar custom controls. Forum thread: link
- Toolbar (⭐27) - by Pulover - AHK Class for AutoHotkey Toolbar custom controls. Forum thread: link
GUI / ListView
- LV_Rows (⭐14) - by Pulover - Additional functions for AHK ListView controls. Forum thread: link
Maths / Web
- Eval (⭐24) - by Pulover - Evaluate expressions in strings. Forum thread: link
Networking / Web
- Socket Class (überarbeitet) - by Bentschi - Class based sockets library. Supports TCP and UDP.
Plotting (graphs, bars, charts and etc) / Web
Mouse / Web
- Radial Menu - Powerful hotkey, launcher, mouse gestures system, and much more (skinable) - Forum thread: link
Typing / Web
Window Management / Web
- WindowPadX (⭐208) - tool which provides some useful functionality within multi monitor environments. WindowPadX is an enhancement of WindowPad, originally released by Lexikos, see original forum thread: link
(Use in) other programming languages / Web
15. Awesome Deep Learning
Researchers / Datasets
- DeepMind QA Corpus (⭐1.3k) - Textual QA corpus from CNN and DailyMail. More than 300K documents in total. Paper for reference.
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