Awesome List Updates on Jun 13 - Jun 19, 2016

Rufus-Scheduler (⭐2.3k) - Rufus-scheduler is a Ruby gem for scheduling pieces of code (jobs). It understands running a job AT a certain time, IN a certain time, EVERY x time or simply via a CRON statement.

15. Awesome Competitive Programming

Sites for Practice / Contest Calendars

☆: ★★★

Name: Programming Contest Calendar - HackerRank

Description: Google Calendar export available

☆: ★★★

Name: CodeHorizon: iOS App, Android App

Description:

16. Awesome Crystal

Algorithms and Data structures

edits.cr (⭐17) - Collection of edit distance algorithms

Third-party APIs

gitlab.cr (⭐29) - GitLab API wrapper

Official Documentation Translations

br.crystal-lang.org - Brazilian

ja.crystal-lang.org - Japanese

ru.crystal-lang.org - Russian

tw.crystal-lang.org - Chinese Traditional

17. Awesome Swift

Network / Barcode

Malibu (⭐11) - A networking library built on promises.

Blur / Barcode

VisualEffectView (⭐1.1k) - UIVisualEffectView subclass with tint color.

18. Awesome Electron

Open Source / Other

YakYak (⭐3.8k) - Unofficial Google Hangouts app.

Closed Source / Other

CatLight - Build status notifier.

For Electron / Other

fix-path (⭐269) - Fix the $PATH on macOS when run from a GUI app. Useful when spawning a child process.

electron-osx-sign (⭐529) - Code-signing for macOS apps.

electron-context-menu (⭐1.3k) - Extensible context menu.

Components / Other

React Desktop (⭐9.5k) - UI toolkit for macOS and Windows built with React.

Articles / Other

Codesigning your app for macOS

Auto-updating apps for macOS and Windows: The complete guide

19. Awesome Nodejs

Packages / Filesystem

chokidar (⭐10k) - Filesystem watcher which stabilizes events from fs.watch and fs.watchFile as well as using native fsevents on macOS.

Packages / Automation

robotjs (⭐12k) - Desktop Automation: control the mouse, keyboard and read the screen.

Resources / Discovery

npms - Superb package search with deep analysis of package quality using a myriad of metrics.

20. Awesome Tap

Reporters / JavaScript

tap-notify (⭐59) - Notifier for macOS, Linux and Windows.

21. Awesome Courses

Courses / Systems

CS 179 GPU Programming Caltech
- This course will cover programming techniques for the GPU. The course will introduce NVIDIA's parallel computing language, CUDA. Beyond covering the CUDA programming model and syntax, the course will also discuss GPU architecture, high performance computing on GPUs, parallel algorithms, CUDA libraries, and applications of GPU computing.
- Assignments
- Lecture Notes

22. Awesome R

Graphic Displays

ggfortify (⭐524) - A unified interface to ggplot2 popular statistical packages using one line of code.

corrplot (⭐302) - A graphical display of a correlation matrix or general matrix. It also contains some algorithms to do matrix reordering.

Data Packages

engsoccerdata (⭐744) - English and European soccer results 1871-2016.

23. Awesome Jvm

Memory and concurrency

Zero-Allocation-Hashing (⭐691) - Hashing any sequences of bytes in Java, including all kinds of primitive arrays, buffers, CharSequences and more.

24. Awesome Aws

Open Source Repos / Elastic MapReduce

emr-sample-apps (⭐64) - Sample apps.

Open Source Repos / Lambda

garnaat/kappa 🔥🔥🔥 (⭐902) - Kappa is a CLI tool that makes it easier to deploy, update, and test functions for AWS Lambda.

Open Source Repos / S3

sorentwo/carrierwave-aws 🔥🔥 (⭐405) - Adapter for CarrierWave.

Open Source Repos / Miscellaneous Repos

convox/rack 🔥🔥🔥🔥 (⭐1.9k) - Open-source PaaS on AWS.

Netflix/aminator 🔥🔥🔥 (⭐936) - A tool for creating EBS AMIs.

Spinnaker/spinnaker 🔥🔥🔥🔥🔥 (⭐8.9k) - Successor to asgard supporting pipelines and more.

25. Awesome Serverless

Blogs

Serverless Code - Blog about everything serverless related.

26. Frontend Dev Bookmarks

Compatibility

Keyboard: Working with keyboard input in a web browser.

Web Accessibility: Web accessibility means that people with disabilities can perceive, understand, navigate, and interact with the Web, and that they can contribute to the Web.

Languages, Protocols, Browser APIs

JavaScript Object Notation (JSON): JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language.

Workflow

Getting Started: Step by step guides for setting up a frontend development workflow.

Package Management: A package manager or package management system is a collection of software tools that automates the process of installing, upgrading, configuring, and removing reusable libraries and components in a consistent manner.

27. Awesome Unicode

One-To-Many Case Mappings / Wait a second... what did I just read?

python-ftfy (⭐3.3k) - Given Unicode text, make its representation consistent and possibly less broken.

vim-troll-stopper (⭐166) - Stop Unicode trolls from messing with your code.

Recursive HTML Tag Renaming Script / Wait a second... what did I just read?

What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text

28. Awesome Deep Vision

Object Detection

OverFeat, NYU [Paper]
- OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks, ICLR, 2014.

R-CNN, UC Berkeley [Paper-CVPR14] [Paper-arXiv14]
- Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik, Rich feature hierarchies for accurate object detection and semantic segmentation, CVPR, 2014.

SPP, Microsoft Research [Paper]
- Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition, ECCV, 2014.

Fast R-CNN, Microsoft Research [Paper]
- Ross Girshick, Fast R-CNN, arXiv:1504.08083.

Faster R-CNN, Microsoft Research [Paper]
- Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun, Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, arXiv:1506.01497.

R-CNN minus R, Oxford [Paper]
- Karel Lenc, Andrea Vedaldi, R-CNN minus R, arXiv:1506.06981.

End-to-end people detection in crowded scenes [Paper]
- Russell Stewart, Mykhaylo Andriluka, End-to-end people detection in crowded scenes, arXiv:1506.04878.

Inside-Outside Net [Paper]
- Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross Girshick, Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks

Deep Residual Network (Current State-of-the-Art) [Paper]
- Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Deep Residual Learning for Image Recognition

Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning [Paper]

Object Tracking

Chao Ma, Jia-Bin Huang, Xiaokang Yang and Ming-Hsuan Yang, Hierarchical Convolutional Features for Visual Tracking, ICCV 2015 [Paper] [Code (⭐205)]

Lijun Wang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu, Visual Tracking with fully Convolutional Networks, ICCV 2015 [Paper] [Code (⭐131)]

Hyeonseob Namand Bohyung Han, Learning Multi-Domain Convolutional Neural Networks for Visual Tracking, [Paper] [Code (⭐460)] [Project Page]

Low-Level Vision / Super-Resolution

Very Deep Super-Resolution
- Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee, Accurate Image Super-Resolution Using Very Deep Convolutional Networks, arXiv:1511.04587, 2015. [Paper]

Deeply-Recursive Convolutional Network
- Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee, Deeply-Recursive Convolutional Network for Image Super-Resolution, arXiv:1511.04491, 2015. [Paper]

Casade-Sparse-Coding-Network
- Zhaowen Wang, Ding Liu, Wei Han, Jianchao Yang and Thomas S. Huang, Deep Networks for Image Super-Resolution with Sparse Prior. ICCV, 2015. [Paper] [Code]

Perceptual Losses for Super-Resolution
- Justin Johnson, Alexandre Alahi, Li Fei-Fei, Perceptual Losses for Real-Time Style Transfer and Super-Resolution, arXiv:1603.08155, 2016. [Paper] [Supplementary]

Low-Level Vision / Other Applications

Optical Flow (FlowNet) [Paper]
- Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazırbaş, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox, FlowNet: Learning Optical Flow with Convolutional Networks, arXiv:1504.06852.

Blur Removal
- Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf, Learning to Deblur, arXiv:1406.7444 [Paper]
- Jian Sun, Wenfei Cao, Zongben Xu, Jean Ponce, Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal, CVPR, 2015 [Paper]

Image Deconvolution [Web] [Paper]
- Li Xu, Jimmy SJ. Ren, Ce Liu, Jiaya Jia, Deep Convolutional Neural Network for Image Deconvolution, NIPS, 2014.

Deep Edge-Aware Filter [Paper]
- Li Xu, Jimmy SJ. Ren, Qiong Yan, Renjie Liao, Jiaya Jia, Deep Edge-Aware Filters, ICML, 2015.

Computing the Stereo Matching Cost with a Convolutional Neural Network [Paper]
- Jure Žbontar, Yann LeCun, Computing the Stereo Matching Cost with a Convolutional Neural Network, CVPR, 2015.

Edge Detection / Other Applications

Holistically-Nested Edge Detection [Paper] [Code] (⭐1.6k)
- Saining Xie, Zhuowen Tu, Holistically-Nested Edge Detection, arXiv:1504.06375.

DeepEdge [Paper]
- Gedas Bertasius, Jianbo Shi, Lorenzo Torresani, DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection, CVPR, 2015.

DeepContour [Paper]
- Wei Shen, Xinggang Wang, Yan Wang, Xiang Bai, Zhijiang Zhang, DeepContour: A Deep Convolutional Feature Learned by Positive-Sharing Loss for Contour Detection, CVPR, 2015.

Semantic Segmentation / Other Applications

Adelaide
- Guosheng Lin, Chunhua Shen, Ian Reid, Anton van dan Hengel, Efficient piecewise training of deep structured models for semantic segmentation, arXiv:1504.01013. [Paper] (1st ranked in VOC2012)
- Guosheng Lin, Chunhua Shen, Ian Reid, Anton van den Hengel, Deeply Learning the Messages in Message Passing Inference, arXiv:1508.02108. [Paper] (4th ranked in VOC2012)

Deep Parsing Network (DPN)
- Ziwei Liu, Xiaoxiao Li, Ping Luo, Chen Change Loy, Xiaoou Tang, Semantic Image Segmentation via Deep Parsing Network, arXiv:1509.02634 / ICCV 2015 [Paper] (2nd ranked in VOC 2012)

CentraleSuperBoundaries, INRIA [Paper]
- Iasonas Kokkinos, Surpassing Humans in Boundary Detection using Deep Learning, arXiv:1411.07386 (4th ranked in VOC 2012)

BoxSup [Paper]
- Jifeng Dai, Kaiming He, Jian Sun, BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation, arXiv:1503.01640. (6th ranked in VOC2012)

POSTECH
- Hyeonwoo Noh, Seunghoon Hong, Bohyung Han, Learning Deconvolution Network for Semantic Segmentation, arXiv:1505.04366. [Paper] (7th ranked in VOC2012)
- Seunghoon Hong, Hyeonwoo Noh, Bohyung Han, Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation, arXiv:1506.04924. [Paper]
- Seunghoon Hong,Junhyuk Oh, Bohyung Han, and Honglak Lee, Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network, arXiv:1512.07928 [Paper] [Project Page]

Conditional Random Fields as Recurrent Neural Networks [Paper]
- Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr, Conditional Random Fields as Recurrent Neural Networks, arXiv:1502.03240. (8th ranked in VOC2012)

DeepLab
- Liang-Chieh Chen, George Papandreou, Kevin Murphy, Alan L. Yuille, Weakly-and semi-supervised learning of a DCNN for semantic image segmentation, arXiv:1502.02734. [Paper] (9th ranked in VOC2012)

Zoom-out [Paper]
- Mohammadreza Mostajabi, Payman Yadollahpour, Gregory Shakhnarovich, Feedforward Semantic Segmentation With Zoom-Out Features, CVPR, 2015

Joint Calibration [Paper]
- Holger Caesar, Jasper Uijlings, Vittorio Ferrari, Joint Calibration for Semantic Segmentation, arXiv:1507.01581.

Fully Convolutional Networks for Semantic Segmentation [Paper-CVPR15] [Paper-arXiv15]
- Jonathan Long, Evan Shelhamer, Trevor Darrell, Fully Convolutional Networks for Semantic Segmentation, CVPR, 2015.

Hypercolumn [Paper]
- Bharath Hariharan, Pablo Arbelaez, Ross Girshick, Jitendra Malik, Hypercolumns for Object Segmentation and Fine-Grained Localization, CVPR, 2015.

Deep Hierarchical Parsing
- Abhishek Sharma, Oncel Tuzel, David W. Jacobs, Deep Hierarchical Parsing for Semantic Segmentation, CVPR, 2015. [Paper]

Learning Hierarchical Features for Scene Labeling [Paper-ICML12] [Paper-PAMI13]
- Clement Farabet, Camille Couprie, Laurent Najman, Yann LeCun, Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers, ICML, 2012.
- Clement Farabet, Camille Couprie, Laurent Najman, Yann LeCun, Learning Hierarchical Features for Scene Labeling, PAMI, 2013.

University of Cambridge [Web]
- Vijay Badrinarayanan, Alex Kendall and Roberto Cipolla "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation." arXiv preprint arXiv:1511.00561, 2015. [Paper]

Princeton
- Fisher Yu, Vladlen Koltun, "Multi-Scale Context Aggregation by Dilated Convolutions", ICLR 2016, [Paper]

Univ. of Washington, Allen AI
- Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Yejin Choi, Ali Farhadi, "Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing", ICCV, 2015, [Paper]

INRIA
- Iasonas Kokkinos, "Pusing the Boundaries of Boundary Detection Using deep Learning", ICLR 2016, [Paper]

UCSB
- Niloufar Pourian, S. Karthikeyan, and B.S. Manjunath, "Weakly supervised graph based semantic segmentation by learning communities of image-parts", ICCV, 2015, [Paper]

Visual Attention and Saliency / Other Applications

Mr-CNN [Paper]
- Nian Liu, Junwei Han, Dingwen Zhang, Shifeng Wen, Tianming Liu, Predicting Eye Fixations using Convolutional Neural Networks, CVPR, 2015.

Learning a Sequential Search for Landmarks [Paper]
- Saurabh Singh, Derek Hoiem, David Forsyth, Learning a Sequential Search for Landmarks, CVPR, 2015.

Multiple Object Recognition with Visual Attention [Paper]
- Jimmy Lei Ba, Volodymyr Mnih, Koray Kavukcuoglu, Multiple Object Recognition with Visual Attention, ICLR, 2015.

Recurrent Models of Visual Attention [Paper]
- Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu, Recurrent Models of Visual Attention, NIPS, 2014.

Object Recognition / Other Applications

Weakly-supervised learning with convolutional neural networks [Paper]
- Maxime Oquab, Leon Bottou, Ivan Laptev, Josef Sivic, Is object localization for free? – Weakly-supervised learning with convolutional neural networks, CVPR, 2015.

FV-CNN [Paper]
- Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi, Deep Filter Banks for Texture Recognition and Segmentation, CVPR, 2015.

Understanding CNN / Other Applications

Anh Nguyen, Jason Yosinski, Jeff Clune, Deep Neural Networks are Easily Fooled:High Confidence Predictions for Unrecognizable Images, CVPR, 2015. [Paper]

Image Generation / Question Answering

Convolutional / Recurrent Networks
- Aäron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu. "Conditional Image Generation with PixelCNN Decoders"[Paper][Code] (⭐169)
- Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox, "Learning to Generate Chairs with Convolutional Neural Networks", CVPR, 2015. [Paper]
- Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra, "DRAW: A Recurrent Neural Network For Image Generation", ICML, 2015. [Paper]

Applications / Question Answering

Adversarial Training
- Code and hyperparameters for the paper "Generative Adversarial Networks" [Web] (⭐3.5k)

Understanding and Visualizing
- Source code for "Understanding Deep Image Representations by Inverting Them," CVPR, 2015. [Web] (⭐162)

Semantic Segmentation
- Source code for the paper "Rich feature hierarchies for accurate object detection and semantic segmentation," CVPR, 2014. [Web] (⭐2.3k)
- Source code for the paper "Fully Convolutional Networks for Semantic Segmentation," CVPR, 2015. [Web] (⭐80)

Super-Resolution
- Image Super-Resolution for Anime-Style-Art [Web] (⭐25k)

Edge Detection
- Source code for the paper "DeepContour: A Deep Convolutional Feature Learned by Positive-Sharing Loss for Contour Detection," CVPR, 2015. [Web] (⭐89)
- Source code for the paper "Holistically-Nested Edge Detection", ICCV 2015. [Web] (⭐1.6k)

29. Tips

Changes staged for commit

git diff --cached

Alternatives:

git diff --staged

Remove branches that have already been merged with master

git branch --merged master | grep -v '^\*' | xargs -n 1 git branch -d

Alternatives:

git branch --merged master | grep -v '^\*\|  master' | xargs -n 1 git branch -d # will not delete master if master is not checked out

Delete local tag

git tag -d <tag-name>

Delete remote tag

git push origin :refs/tags/<tag-name>

See commit history for just the current branch

git cherry -v master

Update all the submodules

git submodule foreach git pull

Alternatives:

git submodule update --init --recursive

git submodule update --remote

Add custom editors.

git config --global core.editor '$EDITOR'

Turn off git colored terminal output

git config --global color.ui false

Specific color settings

git config --global <specific command e.g branch, diff> <true, false or always>

Show all local branches ordered by recent commits

git for-each-ref --sort=-committerdate --format='%(refname:short)' refs/heads/

Find lines matching the pattern (regex or string) in tracked files

git grep --heading --line-number 'foo bar'

Clone a shallow copy of a repository

git clone https://github.com/user/repo.git --depth 1

Search Commit log across all branches for given text

git log --all --grep='<given-text>'

Get first commit in a branch (from master)

git log --oneline master..<branch-name> | tail -1

Alternatives:

git log --reverse master..<branch-name> | head -6

30. Engineering Blogs

Companies / B companies

Boxever http://www.boxever.com/blog/

Companies / G companies

Grouper http://blog.joingrouper.com/

Companies / S companies

Slack https://slack.engineering/

31. Awesome Android

GUI

SectionedRecyclerViewAdapter (⭐1.7k) - An Adapter that allows a RecyclerView to be split into Sections with headers and/or footers.

GUI / Images

Compressor (⭐6.6k) - Compressor is a lightweight and powerful android image compression library.

GUI / Loading Images

Glide Bitmap Pool (⭐571) - Glide Bitmap Pool is a memory management library for reusing the bitmap memory.

More lists of libraries / Custom Dialog

Awesome Android @LibHunt - Your go-to Android Toolbox.

32. Awesome AutoHotkey

GUI / Combobox

CbAutoComplete (⭐16) - by Pulover - Auto-completes typed values in an AHK ComboBox. Forum thread: link

33. Awesome Streaming

Table of Contents / Readings

Real Time Analytics: Algorithms and Systems (VLDB 2015)

Prev: Jun 20 - Jun 26, 2016
Next: Jun 06 - Jun 12, 2016

Awesome List Updates on Jun 13 - Jun 19, 2016

Tutorials / Misc

Sketching with CSS Flexbox Guide by @sfioritto / Read Materials

Sketching with CSS Flexbox Guide by @sfioritto / Video Materials

Who to Follow / Slides and Notes

Beacon Advertiser Apps

Community

Standalone Editors Built on Draft.js

Plugins and Decorators Built for Draft.js

Common Utilities

Blog Posts & Articles

Tutorials / IRC

Tools / Libraries

Tools / Web App

Articles / Web App

Videos

Charts

Generic Info

IDE Plugins and Tools / WicketStuff

Operating System / Firmwares for ESP based Devices

Experiments

Experiments on Codepen

Subtitling

Platform Documentation

Tools For Building Bots

General

Facebook Messenger

Slack

Telegram

Bot Stores / Go

Tutorials / Go

Communities / Go

Scheduled/Recurrence Jobs / Omniauth

Sites for Practice / Contest Calendars

Algorithms and Data structures

Third-party APIs

Official Documentation Translations

Network / Barcode

Blur / Barcode

Open Source / Other

Closed Source / Other

For Electron / Other

Components / Other

Articles / Other

Packages / Filesystem

Packages / Automation

Resources / Discovery

Reporters / JavaScript

Courses / Systems

Graphic Displays

Data Packages

Memory and concurrency

Open Source Repos / Elastic MapReduce

Open Source Repos / Lambda

Open Source Repos / S3

Open Source Repos / Miscellaneous Repos

Blogs

Compatibility

Languages, Protocols, Browser APIs

Workflow

One-To-Many Case Mappings / Wait a second... what did I just read?

Recursive HTML Tag Renaming Script / Wait a second... what did I just read?

Object Detection

Object Tracking

Low-Level Vision / Super-Resolution

Low-Level Vision / Other Applications

Edge Detection / Other Applications

Semantic Segmentation / Other Applications

Visual Attention and Saliency / Other Applications

Object Recognition / Other Applications

Understanding CNN / Other Applications

Image Generation / Question Answering

Other Topics / Question Answering

Courses / Question Answering

Books / Question Answering

Videos / Question Answering

Applications / Question Answering

Changes staged for commit

Remove branches that have already been merged with master

Delete local tag