Awesome List Updates on Feb 13 - Feb 19, 2017

52 awesome lists updated this week.

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1. Awesome Couchdb

Companies / Hosting

• Smileupps - CouchDB hosting.

CouchApps / Hosting

• Ddoc Lab - Create couchapps and CouchDB design docs right in your browser.

Scaling / Hosting

• Bitnami CouchDB - Bitnami makes it easy to run CouchDB in the cloud.

2. Computer Science

How to show your progress / Which programming languages should I use?

• Section: cards with that label represent the section that we have in our curriculum. Those cards with the Section label are only to help the organization of the Done column. You should put the Course's cards below its respective Section's card.

3. Awesome Ledger

Documentation

• man page - Description of command-line options.

Miscellaneous

• Code (⭐4.4k) - Code on GitHub.

• Ports (⭐4.4k) - List of alternative implementations.

4. Awesome Testing

Suggested Awesome Lists / Useful References

• Learn to Code (⭐2.7k) - Learning to code, for those looking to make the move to automation

5. Awesome Dotnet

Testing

• Expecto (⭐592) - A smooth testing framework for F# with tests as values. Unit testing, property based testing, performance testing and stress testing.

6. Awesome Devenv

Notifications / Extensions

• CatLight - status notifier for developers. Checks the status of continuous delivery builds and shows desktop notifications.

7. Awesome Vscode

CSS Peek / More

• Autoprefixer Parse CSS,SCSS, LESS and add vendor prefixes automatically.

8. Awesome Hacking

Other useful repositories

• Repository: Pentest Cheatsheets (⭐3k)

  Description: Collection of the cheat sheets useful for pentesting

9. Colorful

Color Palettes / Web App

• WebGradients - A free collection of 180 linear gradients.

10. Awesome Geojson

conversion

• supercluster (⭐1.6k): A fast GeoJSON clustering library for browsers and Node.

11. Awesome Dropwizard

Open Source / Eclipse

• dropwizard-simple-cors - A Dropwizard bundle to provide simple, sensible CORS support

12. Awesome Tensorflow

Books

• TensorFlow for Machine Intelligence - Complete guide to use TensorFlow from the basics of graph computing, to deep learning models to using it in production environments - Bleeding Edge Press

13. Awesome Security

Other Awesome Lists / Other Security Awesome Lists

• Awesome Pentest Cheat Sheets (⭐3k) - Collection of the cheat sheets useful for pentesting

14. Awesome Crystal

Misc

• any_hash.cr (⭐33) - Recursive Hash with better JSON::Any included

Official Documentation Translations

• kr.crystal-lang.org - Korean

15. Awesome Clojurescript

Awesome ClojureScript / Documentation

• codox (⭐637) – A tool for generating API documentation from Clojure or ClojureScript source code.

16. Awesome D3

Charts

• d3-bumps-chart (⭐14) - Plugin for visualizing bumps charts

17. Awesome Choo

Contents / Plugins and addons

• choo-pull (⭐15) - Wrap handlers to use pull-stream in a choo plugin.

• choo-redirect (⭐19) - Redirect a view to another view.

• choo-model (⭐14) - Experimental state management lib for choo.

• choo-resume (⭐15) - choo-resume + hot-rld = hot app reload in choo.

18. Awesome Fuse

Open Source

• fuse.QrScanner (⭐2) - A small library for scanning QrCode.

19. Awesome Malware Analysis

Debugging and Reverse Engineering / Other Resources

• Kaitai Struct - DSL for file formats / network protocols / data structures reverse engineering and dissection, with code generation for C++, C#, Java, JavaScript, Perl, PHP, Python, Ruby.

20. Android Security Awesome

Academic/Research/Publications/Books / Books

• SEI CERT Android Secure Coding Standard

Exploits/Vulnerabilities/Bugs / List

• Android Security Bulletins

Exploits/Vulnerabilities/Bugs / Bounty Programs

• Android Security Reward Program

Exploits/Vulnerabilities/Bugs / How to report Security issues

• Android - reporting security issues

21. Tips

Quickly switch to the previous branch

git checkout -

Alternatives:

git checkout @{-1}

22. Vertx Awesome

Development Tools

• Vert.x Starter - A browser-based project starter and project templates for Vert.x applications.

Utilities

• Vert.x Dependent Verticle Deployer (⭐6) - A Vert.x Verticle intended to deploy verticles and their dependent verticles.

23. Awesome Javascript Learning

ES6 and above / Single Topics

• Practical ES6 (⭐3k) - eBook with practical examples and advices.

24. Awesome Hacking

Online resources / Other

• Security @ Distrowatch - Website dedicated to talking about, reviewing and keeping up to date with open source operating systems

• Best Linux Penetration Testing Distributions @ CyberPunk - Description of main penetration testing distributions

25. Awesome Cpp

Coding Style

• Linux kernel coding style

26. Awesome Composer

Plugins / IRC

• Composer-Patches (⭐1.3k) - The plugin applies a patch from a local or remote file to any required package.

Tools / IRC

• ComposerRequireChecker (⭐701) - A CLI tool to analyze dependencies and verify that no unknown imported symbols are used in the sources of a package.

27. Awesome Ruby

Presentation Programs

• Slide Show (S9) (⭐181) - Write your slides / talks / presentations in plain text with markdown formatting conventions and generate (static) web pages; template packs incl. deck.js, impress.js, reveal.js, shower, s6, s5 and more.

28. Nlp with Ruby

Pipeline Generation

• phobos (⭐211) - Simplified Ruby Client for Apache Kafka.

Language Identification / On-line APIs

• scylla (⭐34) - Language Categorization and Identification.

29. Awesome Dotnet Core

Frameworks, Libraries and Tools / Serialization

• ZeroFormatter (⭐2.3k) - Fast binary (de)serializer for .NET.

Frameworks, Libraries and Tools / Testing

• Storyteller (⭐270) - Executable Specifications for .NET http://storyteller.github.io.

30. Awesome Alfred Workflows

Developer

• ng (⭐44) - Search through the angular.io documentation.

31. Awesome Laravel

Community / Local User Groups

• Laravel Slovenia

32. Awesome Rust

Applications

• notty (⭐2.2k) — A new kind of terminal

33. Awesome Ant Design

Articles

• Styling React Applications with Ant.Design

• Finding a User Interface library

34. Awesome Mac

Reading and Writing Tools / Text Editors

• Vimr - Refined Vim Experience for OS X.

Developer Tools / Developer Utilities

• Beyond Compare - Compare files and folders using simple, powerful commands that focus on the differences you are interested in and ignore those you are not.

Developer Tools / Version Control

• Tower2 - The most powerful Git client for Mac and Windows.

Developer Tools / Databases

• RedisDesktopManager - Cross-platform GUI management tool for Redis.

Design and Product / Design Tools

• Affinity Designer - Professional graphic design software for Mac.

• Affinity Photo - Professional image editing software for Mac.

• Blender - Free and open 3D creation software.

Design and Product / Prototyping and Mind-Mapping Tools

• Mockplus - Prototype faster, smarter and easier.

Design and Product / Other Tools

• Image2icon - Create and personalize icons from your pictures.

Communication / Collaboration and Team Tools

• WeeChat - The extensible command-line chat client.

Audio and Video Tools / File Sharing

• Audio Hijack - Record any application's audio, including VoIP calls from Skype, web streams from Safari, and much more.

• ScreenFlow - Screencasting and video editing software.

• Shotcut - Free open-source video editor.

Cloud Storage / File Sharing

• Mega - Free cloud service, offers 50GB free storage.

• Seafile - Reliable and High Speed File Sync and Share.

Genuine Sites / Package Managers

• Also, Quora, Reddit, you know the drill.

35. Awesome Ctf

Bruteforcers

• Hashcat - Password Cracker

Exploits

• libformatstr (⭐332) - Simplify format string exploitation.

Web

• OWASP ZAP - Intercepting proxy to replay, debug, and fuzz HTTP requests and responses

36. Engineering Blogs

Companies / C companies

• Curalate http://engineering.curalate.com/

Products/Technologies / J technologies

• jOOQ https://blog.jooq.org/

37. Awesome Remote Job

Companies with "remote DNA"

• Deeson - UK-based with European team. Digital agency specialising in Drupal, Symfony and Laravel

38. Awesome Hacking Locations

Portugal 🇵🇹 / Guimarães

Centro Comercial Nova Arcada

Shopping mall just outside Braga, surprisingly very quiet during the week and many people go there to study/work. There is free WiFi provided by the mall, you just need to re-login every 45 or so minutes (I hacked away this script to automate the process, seemed to work for a whole afternoon). There are power plugs available, restaurants and cafes are on the same floor and free bus from/to city center during the week.

Webpage: http://www.novaarcada.pt/

United Kingdom 🇬🇧 / England

Denizli HS

A Hackerspace spot.

Webpage: http://www.denizlihs.org/

39. Awesome Elixir

REST and API

• plug_rest (⭐52) - REST behaviour and Plug router for hypermedia web applications.

Validations

• jeaux (⭐12) - A light and easy schema validator.

40. Awesome Android

Cloud Services

• CloudRail - Unified API Library for: Cloud Storage, Social Profiles, Payment, Email, SMS & POIs.

Dependency Injection

• ActivityStarter (⭐428) - Android Library that provide simpler way to start the Activities with multiple arguments.

41. Awesome Deep Learning Papers

Awesome list criteria

• A list of top 100 deep learning papers published from 2012 to 2016 is suggested.

• If a paper is added to the list, another paper (usually from *More Papers from 2016" section) should be removed to keep top 100 papers. (Thus, removing papers is also important contributions as well as adding papers)

• Please refer to New Papers and Old Papers sections for the papers published in recent 6 months or before 2012.

• < 6 months : New Papers (by discussion)

• 2016 : +60 citations or "More Papers from 2016"

• 2012 : +800 citations

• ~2012 : Old Papers (by discussion)

Contents / Understanding / Generalization / Transfer

• Distilling the knowledge in a neural network (2015), G. Hinton et al. [pdf]

• Deep neural networks are easily fooled: High confidence predictions for unrecognizable images (2015), A. Nguyen et al. [pdf]

• How transferable are features in deep neural networks? (2014), J. Yosinski et al. [pdf]

• Learning and transferring mid-Level image representations using convolutional neural networks (2014), M. Oquab et al. [pdf]

Contents / Optimization / Training Techniques

• Batch normalization: Accelerating deep network training by reducing internal covariate shift (2015), S. Loffe and C. Szegedy [pdf]

• Adam: A method for stochastic optimization (2014), D. Kingma and J. Ba [pdf]

• Improving neural networks by preventing co-adaptation of feature detectors (2012), G. Hinton et al. [pdf]

• Random search for hyper-parameter optimization (2012) J. Bergstra and Y. Bengio [pdf]

Contents / Unsupervised / Generative Models

• Pixel recurrent neural networks (2016), A. Oord et al. [pdf]

• Unsupervised representation learning with deep convolutional generative adversarial networks (2015), A. Radford et al. [pdf]

• DRAW: A recurrent neural network for image generation (2015), K. Gregor et al. [pdf]

• Generative adversarial nets (2014), I. Goodfellow et al. [pdf]

• Auto-encoding variational Bayes (2013), D. Kingma and M. Welling [pdf]

Contents / Convolutional Neural Network Models

• Rethinking the inception architecture for computer vision (2016), C. Szegedy et al. [pdf]

• Inception-v4, inception-resnet and the impact of residual connections on learning (2016), C. Szegedy et al. [pdf]

• Identity Mappings in Deep Residual Networks (2016), K. He et al. [pdf]

• OverFeat: Integrated recognition, localization and detection using convolutional networks (2013), P. Sermanet et al. [pdf]

• Maxout networks (2013), I. Goodfellow et al. [pdf]

• Network in network (2013), M. Lin et al. [pdf]

Contents / Image: Segmentation / Object Detection

• You only look once: Unified, real-time object detection (2016), J. Redmon et al. [pdf]

• Fast R-CNN (2015), R. Girshick [pdf]

• Semantic image segmentation with deep convolutional nets and fully connected CRFs, L. Chen et al. [pdf]

Contents / Appendix: More than Top 100

• Learning Hierarchical Features for Scene Labeling (2013), C. Farabet et al. [pdf]

• Dermatologist-level classification of skin cancer with deep neural networks (2017), A. Esteva et al. [html]

• Weakly supervised object localization with multi-fold multiple instance learning (2017), R. Gokberk et al. [pdf]

• Brain tumor segmentation with deep neural networks (2017), M. Havaei et al. [pdf]

• Professor Forcing: A New Algorithm for Training Recurrent Networks (2016), A. Lamb et al. [pdf]

• Adversarially learned inference (2016), V. Dumoulin et al. [web][pdf]

• Understanding convolutional neural networks (2016), J. Koushik [pdf]

• Taking the human out of the loop: A review of bayesian optimization (2016), B. Shahriari et al. [pdf]

• Adaptive computation time for recurrent neural networks (2016), A. Graves [pdf]

• Densely connected convolutional networks (2016), G. Huang et al. [pdf]

• Continuous deep q-learning with model-based acceleration (2016), S. Gu et al. [pdf]

• A thorough examination of the cnn/daily mail reading comprehension task (2016), D. Chen et al. [pdf]

• Achieving open vocabulary neural machine translation with hybrid word-character models, M. Luong and C. Manning. [pdf]

• Very Deep Convolutional Networks for Natural Language Processing (2016), A. Conneau et al. [pdf]

• Bag of tricks for efficient text classification (2016), A. Joulin et al. [pdf]

• Efficient piecewise training of deep structured models for semantic segmentation (2016), G. Lin et al. [pdf]

• Learning to compose neural networks for question answering (2016), J. Andreas et al. [pdf]

• Perceptual losses for real-time style transfer and super-resolution (2016), J. Johnson et al. [pdf]

• Reading text in the wild with convolutional neural networks (2016), M. Jaderberg et al. [pdf]

• What makes for effective detection proposals? (2016), J. Hosang et al. [pdf]

• Inside-outside net: Detecting objects in context with skip pooling and recurrent neural networks (2016), S. Bell et al. [pdf].

• Instance-aware semantic segmentation via multi-task network cascades (2016), J. Dai et al. [pdf]

• Conditional image generation with pixelcnn decoders (2016), A. van den Oord et al. [pdf]

• Deep networks with stochastic depth (2016), G. Huang et al., [pdf]

• Ask your neurons: A neural-based approach to answering questions about images (2015), M. Malinowski et al. [pdf]

• Exploring models and data for image question answering (2015), M. Ren et al. [pdf]

• Are you talking to a machine? dataset and methods for multilingual image question (2015), H. Gao et al. [pdf]

• Mind's eye: A recurrent visual representation for image caption generation (2015), X. Chen and C. Zitnick. [pdf]

• From captions to visual concepts and back (2015), H. Fang et al. [pdf].

• Towards AI-complete question answering: A set of prerequisite toy tasks (2015), J. Weston et al. [pdf]

• Ask me anything: Dynamic memory networks for natural language processing (2015), A. Kumar et al. [pdf]

• Unsupervised learning of video representations using LSTMs (2015), N. Srivastava et al. [pdf]

• Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding (2015), S. Han et al. [pdf]

• Improved semantic representations from tree-structured long short-term memory networks (2015), K. Tai et al. [pdf]

• Character-aware neural language models (2015), Y. Kim et al. [pdf]

• Grammar as a foreign language (2015), O. Vinyals et al. [pdf]

• Trust Region Policy Optimization (2015), J. Schulman et al. [pdf]

• Learning Deconvolution Network for Semantic Segmentation (2015), H. Noh et al. [pdf]

• Learning spatiotemporal features with 3d convolutional networks (2015), D. Tran et al. [pdf]

• Understanding neural networks through deep visualization (2015), J. Yosinski et al. [pdf]

• An Empirical Exploration of Recurrent Network Architectures (2015), R. Jozefowicz et al. [pdf]

• Deep generative image models using a laplacian pyramid of adversarial networks (2015), E.Denton et al. [pdf]

• Gated Feedback Recurrent Neural Networks (2015), J. Chung et al. [pdf]

• Fast and accurate deep network learning by exponential linear units (ELUS) (2015), D. Clevert et al. [pdf]

• Pointer networks (2015), O. Vinyals et al. [pdf]

• Visualizing and Understanding Recurrent Networks (2015), A. Karpathy et al. [pdf]

• Attention-based models for speech recognition (2015), J. Chorowski et al. [pdf]

• End-to-end memory networks (2015), S. Sukbaatar et al. [pdf]

• Describing videos by exploiting temporal structure (2015), L. Yao et al. [pdf]

• A neural conversational model (2015), O. Vinyals and Q. Le. [pdf]

• Learning a Deep Convolutional Network for Image Super-Resolution (2014, C. Dong et al. [pdf]

• Recurrent models of visual attention (2014), V. Mnih et al. [pdf]

• Empirical evaluation of gated recurrent neural networks on sequence modeling (2014), J. Chung et al. [pdf]

• Addressing the rare word problem in neural machine translation (2014), M. Luong et al. [pdf]

• On the properties of neural machine translation: Encoder-decoder approaches (2014), K. Cho et. al.

• Recurrent neural network regularization (2014), W. Zaremba et al. [pdf]

• Intriguing properties of neural networks (2014), C. Szegedy et al. [pdf]

• Towards end-to-end speech recognition with recurrent neural networks (2014), A. Graves and N. Jaitly. [pdf]

• Scalable object detection using deep neural networks (2014), D. Erhan et al. [pdf]

• On the importance of initialization and momentum in deep learning (2013), I. Sutskever et al. [pdf]

• Regularization of neural networks using dropconnect (2013), L. Wan et al. [pdf]

• Linguistic Regularities in Continuous Space Word Representations (2013), T. Mikolov et al. [pdf]

Contents / Image / Video / Etc

• Image Super-Resolution Using Deep Convolutional Networks (2016), C. Dong et al. [pdf]

• A neural algorithm of artistic style (2015), L. Gatys et al. [pdf]

• VQA: Visual question answering (2015), S. Antol et al. [pdf]

• DeepFace: Closing the gap to human-level performance in face verification (2014), Y. Taigman et al. [pdf]:

• Two-stream convolutional networks for action recognition in videos (2014), K. Simonyan et al. [pdf]

• 3D convolutional neural networks for human action recognition (2013), S. Ji et al. [pdf]

Contents / Natural Language Processing / RNNs

• Exploring the limits of language modeling (2016), R. Jozefowicz et al. [pdf]

• Teaching machines to read and comprehend (2015), K. Hermann et al. [pdf]

• Effective approaches to attention-based neural machine translation (2015), M. Luong et al. [pdf]

• Learning phrase representations using RNN encoder-decoder for statistical machine translation (2014), K. Cho et al. [pdf]

• Convolutional neural networks for sentence classification (2014), Y. Kim [pdf]

• Distributed representations of words and phrases and their compositionality (2013), T. Mikolov et al. [pdf]

Contents / Speech / Other Domain

• End-to-end attention-based large vocabulary speech recognition (2016), D. Bahdanau et al. [pdf]

• Speech recognition with deep recurrent neural networks (2013), A. Graves [pdf]

• Acoustic modeling using deep belief networks (2012), A. Mohamed et al. [pdf]

Contents / Reinforcement Learning / Robotics

• Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection (2016), S. Levine et al. [pdf]

• Asynchronous methods for deep reinforcement learning (2016), V. Mnih et al. [pdf]

• Deep Reinforcement Learning with Double Q-Learning (2016), H. Hasselt et al. [pdf]

• Continuous control with deep reinforcement learning (2015), T. Lillicrap et al. [pdf]

• Deep learning for detecting robotic grasps (2015), I. Lenz et al. [pdf]

• Playing atari with deep reinforcement learning (2013), V. Mnih et al. [pdf])

Contents / More Papers from 2016

• Layer Normalization (2016), J. Ba et al. [pdf]

• Learning to learn by gradient descent by gradient descent (2016), M. Andrychowicz et al. [pdf]

• Domain-adversarial training of neural networks (2016), Y. Ganin et al. [pdf]

• WaveNet: A Generative Model for Raw Audio (2016), A. Oord et al. [pdf] [web]

• Generative visual manipulation on the natural image manifold (2016), J. Zhu et al. [pdf]

• Texture networks: Feed-forward synthesis of textures and stylized images (2016), D Ulyanov et al. [pdf]

• SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 1MB model size (2016), F. Iandola et al. [pdf]

• Eie: Efficient inference engine on compressed deep neural network (2016), S. Han et al. [pdf]

• Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1 (2016), M. Courbariaux et al. [pdf]

• Dynamic memory networks for visual and textual question answering (2016), C. Xiong et al. [pdf]

• Stacked attention networks for image question answering (2016), Z. Yang et al. [pdf]

• Hybrid computing using a neural network with dynamic external memory (2016), A. Graves et al. [pdf]

Contents / Old Papers

• An analysis of single-layer networks in unsupervised feature learning (2011), A. Coates et al. [pdf]

• Deep sparse rectifier neural networks (2011), X. Glorot et al. [pdf]

• Recurrent neural network based language model (2010), T. Mikolov et al. [pdf]

• Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion (2010), P. Vincent et al. [pdf]

• Learning mid-level features for recognition (2010), Y. Boureau [pdf]

• A practical guide to training restricted boltzmann machines (2010), G. Hinton [pdf]

• Understanding the difficulty of training deep feedforward neural networks (2010), X. Glorot and Y. Bengio [pdf]

• Why does unsupervised pre-training help deep learning (2010), D. Erhan et al. [pdf]

• Learning deep architectures for AI (2009), Y. Bengio. [pdf]

• Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations (2009), H. Lee et al. [pdf]

• Greedy layer-wise training of deep networks (2007), Y. Bengio et al. [pdf]

• Reducing the dimensionality of data with neural networks, G. Hinton and R. Salakhutdinov. [pdf]

• A fast learning algorithm for deep belief nets (2006), G. Hinton et al. [pdf]

• Gradient-based learning applied to document recognition (1998), Y. LeCun et al. [pdf]

• Long short-term memory (1997), S. Hochreiter and J. Schmidhuber. [pdf]

Contents / HW / SW / Dataset

• OpenAI gym (2016), G. Brockman et al. [pdf]

• MatConvNet: Convolutional neural networks for matlab (2015), A. Vedaldi and K. Lenc [pdf]

• Imagenet large scale visual recognition challenge (2015), O. Russakovsky et al. [pdf]

Contents / Book / Survey / Review

• Deep learning (Book, 2016), Goodfellow et al. [html]

• LSTM: A search space odyssey (2016), K. Greff et al. [pdf]

Contents / Video Lectures / Tutorials / Blogs

• CS231n, Convolutional Neural Networks for Visual Recognition, Stanford University [web]

• CS224d, Deep Learning for Natural Language Processing, Stanford University [web]

• NIPS 2016 Tutorials, Long Beach [web]

• ICML 2016 Tutorials, New York City [web]

• ICLR 2016 Videos, San Juan [web]

• Deep Learning Summer School 2016, Montreal [web]

• Bay Area Deep Learning School 2016, Stanford [web]

• Andrej Karpathy Blog [web]

• Colah's Blog [Web]

• WildML [Web]

• FastML [web]

42. Awesome Angular

Community

• @Angular on Twitter

Pipes / Components

• angular2-camelcase (⭐2) Angular2 pipe to convert camelCase strings to human readable strings Edit

Cordova Seed Projects / Components

• Angular 2 Seed CLI Admin (Template) (⭐66) Multi-platform Angular 2 project (Web/PWA, Mobile and Desktop) with Ionic 2 (and optionally Bootstrap).

43. Awesome Creative Coding

Books

• The Nature of Code - Simulating natural systems with Processing.

Web Programming • Libraries

• Pixi.js - HTML 5 2D rendering engine that uses webGL with canvas fallback.

Videos

• The Coding Train - Daniel Shiffman makes videos about creative coding.

Articles • Tutorials / Other

• Creative-coding on iOS with C4 - Introduction to C4 published on Creative Applications.

• COSMOS - An end-to-end tutorial on the design, programming and launch of an app using C4.

Math / Other

• Image Kernels - Interactive and visual introduction to image kernels.

• Sine and Cosine - Interactive explination of sine and cosine.

Related / Other

• Awesome livecoding (⭐2.1k) - Curated list of livecoding languages and tools.

44. Awesome Dev Fun

Android

• Stevie Wonder Simulator - Feel for a moment as the great Stevie Wonder with this simulator for Android.

Haskell

• hackertyper (⭐39) - "Hack" like a programmer in movies and games!

JavaScript

• Echochamber.js (⭐4k) - Commenting without the comments - providing a single-sided user comments just stored in local storage.

• Object.toSting() (⭐206) - Logs an image of Sting to the development console.

PHP

• Phpunit VW (⭐1.7k) - VW makes failing test cases succeed in continuous integration tools.

Python

• PyTest-VW (⭐133) - VW makes failing test cases succeed in continuous integration tools.

• left-pad - Python's solution to infamous npm problem.

Esoteric languages

• ArnoldC (⭐6.5k) - Arnold Schwarzenegger based programming language.

• TrumpScript (⭐7.5k) - Make Python great again.

Browser extensions

• Cloud to butt (⭐1.4k) - Chrome extension that replaces occurrences of 'the cloud' with 'my butt'.

CLI

• Pong-command (⭐152) - Pong is Not Ping.

• Alice (⭐13) - Alice sings when you mistakenly type al.

• cmprss (⭐4) - IrrvrsbleCmprssionForTxt.

• lolcat (⭐5.2k) - Rainbows and unicorns!

45. Awesome Web Design

Typography

• Typewolf: Comprehensive web typography info, suggestions for font alternatives, and links to usage in the wild.

46. Awesome Ddd

Books

• Versioning in an Event Sourced System - Have you had troubles with versioning an Event Sourced system? Just getting into a new Event Sourced system for the first time? This book is the definitive guide of how to handle versioning over long periods of time.

User Groups / Ruby

• Norway

47. Awesome Static Website Services

Related Lists / Provided by the Host

• Awesome Static Hosting (⭐245)

48. Awesome Machine Learning

C++ / General-Purpose Machine Learning

• MLDB - The Machine Learning Database is a database designed for machine learning. Send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs.

• sofia-ml - Suite of fast incremental algorithms.

• Timbl - A software package/C++ library implementing several memory-based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification, and IGTree, a decision-tree approximation of IB1-IG. Commonly used for NLP.

C++ / Natural Language Processing

• frog (⭐70) - Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.

• ucto (⭐58) - Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.

C++ / Speech Recognition

• Kaldi (⭐12k) - Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.

Java / General-Purpose Machine Learning

• ELKI - Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)

JavaScript / Data Analysis / Data Visualization

• amCharts

Julia / Data Analysis / Data Visualization

• Gadfly (⭐1.8k) - Crafty statistical graphics for Julia.

Lua / General-Purpose Machine Learning

• SciLua

.NET / Computer Vision

• OpenCVDotNet - A wrapper for the OpenCV project to be used with .NET applications.

Python / Natural Language Processing

• TextBlob - Providing a consistent API for diving into common natural language processing (NLP) tasks. Stands on the giant shoulders of NLTK and Pattern, and plays nicely with both.

Python / General-Purpose Machine Learning

• graphlab-create - A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame.

• gensim (⭐14k) - Topic Modelling for Humans.

Python / Data Analysis / Data Visualization

• d3py (⭐1.4k) - A plotting library for Python, based on D3.js.

• pygal - A Python SVG Charts Creator.

Python / Misc Scripts / iPython Notebooks / Codebases

• Optunity examples - Examples demonstrating how to use Optunity in synergy with machine learning libraries.

Ruby / Misc

• Listof (⭐26) - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash. Demo/Search for a list

SAS / General-Purpose Machine Learning

• Enterprise Miner - Data mining and machine learning that creates deployable models using a GUI or code.

• Factory Miner - Automatically creates deployable machine learning models across numerous market or customer segments using a GUI.

SAS / Data Analysis / Data Visualization

• University Edition - FREE! Includes all SAS packages necessary for data analysis and visualization, and includes online SAS courses.

SAS / Demos and Scripts

• ML_Tables (⭐123) - Concise cheat sheets containing machine learning best practices.

• enlighten-apply (⭐123) - Example code and materials that illustrate applications of SAS machine learning techniques.

• enlighten-integration (⭐60) - Example code and materials that illustrate techniques for integrating SAS with other analytics technologies in Java, PMML, Python and R.

• enlighten-deep (⭐20) - Example code and materials that illustrate using neural networks with several hidden layers in SAS.

• dm-flow (⭐55) - Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.

49. Awesome Selenium

Containers / Docker

• zalando/zalenium (⭐2.4k) - Allows anyone to have a disposable and flexible Selenium Grid infrastructure

50. Awesome Shell

Customization / Directory Navigation

• bullet-train-oh-my-zsh-theme (⭐2.7k) - 🚄 An oh-my-zsh shell theme based on the Powerline Vim plugin

• mysql-colorize (⭐91) - Colorization for mysql comand-line client

Shell Script Development / Directory Navigation

• crash (⭐54) - Proper error handling, exceptions and try/catch for ZSH

Shell Script Development / See also

• awesome-fish (⭐3.2k)

• awesome-zsh (⭐12k)

51. Awesome Draft Js

Standalone Editors Built on Draft.js

• Dante 2 (⭐921) - Just another Medium clone built on top of DraftJs.

• Last Draft (⭐215) - A Draft editor built with Draft.js plugins.

Plugins and Decorators Built for Draft.js

• Draft Extend (⭐116) - Build extensible Draft.js editors with configurable plugins and integrated serialization.

Common Utilities

• Draft Convert (⭐472) - Extensibly serialize & deserialize Draft.js ContentState with HTML.

• HTML to DraftJS (⭐150) - Convert plain HTML to DraftJS Editor content.

52. Awesome Vehicle Security

Research Papers

• Koscher et al. Experimental Security Analysis of a Modern Automobile, 2010

• Comprehensive Experimental Analyses of Automotive Attack Surfaces, 2011

• Miller and Valasek - Self proclaimed "car hacking the definitive source".
  • Adventures in Automotive Networks and Control Units (aka car hacking)
  • Car Hacking for Poories
  • A Survey of Remote Automotive Attack Surfaces, 2014
  • Remote Compromise of an Unaltered Passenger Vehicle (aka The Jeep Hack), 2015
  • Advanced CAN Message Injection, 2016

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