Awesome List Updates on Feb 13 - Feb 19, 2017

50 awesome lists updated this week.

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1. Awesome Couchdb

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. Awesome Ledger

Documentation

• man page - Description of command-line options.

Miscellaneous

• Code (⭐4.4k) - Code on GitHub.

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

3. Awesome Testing

Suggested Awesome Lists / Useful References

• Learn to Code (⭐3.9k) - Learning to code, for those looking to make the move to automation

4. Awesome Dotnet

Testing

• Expecto (⭐665) - A smooth testing framework for F# with tests as values. Unit testing, property based testing, performance testing and stress testing.

5. Awesome Devenv

Notifications / Extensions

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

6. Awesome Vscode

CSS Peek / More

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

7. Awesome Hacking

Other Useful Repositories

• Repository: Pentest Cheatsheets (⭐3.8k)

  Description: Collection of the cheat sheets useful for pentesting

8. Colorful

Color Palettes / Web App

• WebGradients - A free collection of 180 linear gradients.

9. Awesome Geojson

conversion

• supercluster (⭐2k): A fast GeoJSON clustering library for browsers and Node.

10. Awesome Dropwizard

Open Source / Eclipse

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

11. 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

12. Awesome Crystal

Misc

• any_hash.cr (⭐35) - Recursive Hash with better JSON::Any included

Official Documentation Translations

• kr.crystal-lang.org - Korean

13. Awesome Clojurescript

Awesome ClojureScript / Documentation

• codox (⭐641) – A tool for generating API documentation from Clojure or ClojureScript source code.

14. Awesome D3

Charts

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

15. 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.

16. Awesome Fuse

Open Source

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

17. 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.

18. 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

19. Tips

Quickly switch to the previous branch

git checkout -

Alternatives:

git checkout @{-1}

20. 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.

21. Awesome Security

Operating Systems / Online resources

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

Other Awesome Lists / Other Security Awesome Lists

• Awesome Pentest Cheat Sheets (⭐3.7k) - Collection of the cheat sheets useful for pentesting

22. Awesome Javascript Learning

ES6 and above / Single Topics

• Practical ES6 (⭐3.1k) - eBook with practical examples and advices.

23. Awesome Hacking

Online resources / Other

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

24. Awesome Cpp

Coding Style

• Linux kernel coding style

25. Awesome Composer

Plugins / IRC

• Composer-Patches (⭐1.5k) - The plugin applies a patch from a local or remote file to any required package.

Tools / IRC

• ComposerRequireChecker (⭐871) - A CLI tool to analyze dependencies and verify that no unknown imported symbols are used in the sources of a package.

26. Awesome Ruby

Presentation Programs

• Slide Show (S9) (⭐186) - 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.

27. Nlp with Ruby

Pipeline Generation

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

Language Identification / On-line APIs

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

28. Awesome Dotnet Core

Frameworks, Libraries and Tools / Serialization

• ZeroFormatter (⭐2.4k) - Fast binary (de)serializer for .NET.

Frameworks, Libraries and Tools / Testing

• Storyteller (⭐268) - Executable Specifications for .NET http://storyteller.github.io.

29. Awesome Alfred Workflows

Developer

• ng (⭐45) - Search through the angular.io documentation.

30. Awesome Laravel

Community / Local User Groups

• Laravel Slovenia

31. Awesome Rust

Applications

• notty (⭐2.3k) - A new kind of terminal

32. Awesome Ant Design

Articles

• Styling React Applications with Ant.Design

• Finding a User Interface library

33. 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 / Audio Record and Process

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

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

Mac App Download Sites / Genuine Sites

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

34. 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

35. Engineering Blogs

Companies / C companies

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

Products/Technologies / J technologies

• jOOQ https://blog.jooq.org/

36. Awesome Remote Job

Companies with "remote DNA"

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

37. 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/

38. Awesome Elixir

REST and API

• plug_rest (⭐54) - REST behaviour and Plug router for hypermedia web applications.

Validations

• jeaux (⭐13) - A light and easy schema validator.

39. 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.

40. 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]

41. 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 (⭐2.5k) - Curated list of livecoding languages and tools.

42. 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!

43. Awesome Web Design

Typography

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

44. 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

45. Awesome Static Website Services

Related Lists / Provided by the Host

• Awesome Static Hosting (⭐284)

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

• ucto (⭐65) - Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.

C++ / Speech Recognition

• Kaldi (⭐14k) - 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 (⭐1.9k) - 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 (⭐15k) - 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 (⭐27) - 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 (⭐125) - Concise cheat sheets containing machine learning best practices.

• enlighten-apply (⭐125) - 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 (⭐19) - Example code and materials that illustrate using neural networks with several hidden layers in SAS.

• dm-flow (⭐58) - Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.

47. Awesome Selenium

Containers / Docker

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

48. Awesome Shell

Customization / Directory Navigation

• bullet-train-oh-my-zsh-theme (⭐2.8k) - 🚄 An oh-my-zsh shell theme based on the Powerline Vim plugin

• mysql-colorize (⭐98) - Colorization for mysql comand-line client

Shell Script Development / Directory Navigation

• crash (⭐60) - Proper error handling, exceptions and try/catch for ZSH

Shell Script Development / See also

• awesome-fish (⭐3.8k)

• awesome-zsh (⭐14k)

49. 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.

50. 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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