Awesome List Updates on Nov 01, 2017

6 awesome lists updated today.

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1. Awesome Hacking Locations

United States 🇺🇸 / New York

Ground Support Cafe

Great spot in Soho for getting things done and feeling like you belong with the cool soho crowd

Webpage: http://www.groundsupportcafe.com/

2. Awesome Android

Android Services

• Remoter (⭐65) - An alternative to Android AIDL for Android Remote IPC services using plain java interfaces.

• Service Connector (⭐12) - Bind Android services and callbacks to fields and methods.

3. Mind Expanding Books

Politics

• Name: The New Jim Crow: Mass Incarceration in the Age of Colorblindness

  Author: Michelle Alexander

  Goodreads Rating: 4.49

  Year Published: 2010

Gender

• Name: Delusions of Gender: How Our Minds, Society, and Neurosexism Create Difference

  Author: Cordelia Fine

  Goodreads Rating: 4.15

  Year Published: 2010

4. Sublime Bookmarks

Fun stuff / Color Schemes

• Themer - tool for generating color schemes (and matching themes for your other development tools, including wallpaper) from your favorite colors.

5. Computer Science

Congratulations / Which programming languages should I use?

• Pay attention to emerging technologies in the world of software development:
  • Explore the actor model through Elixir, a new functional programming language for the web based on the battle-tested Erlang Virtual Machine!
  • Explore borrowing and lifetimes through Rust, a systems language which achieves memory- and thread-safety without a garbage collector!
  • Explore dependent type systems through Idris, a new Haskell-inspired language with unprecedented support for type-driven development.

6. Awesome Machine Learning

C / Computer Vision

• CCV (⭐7k) - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.

C++ / General-Purpose Machine Learning

• DLib - A suite of ML tools designed to be easy to imbed in other applications.

• Stan - A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampling.

Python / General-Purpose Machine Learning

• Shogun (⭐3k) - The Shogun Machine Learning Toolbox.

• XGBoost (⭐25k) - Python bindings for eXtreme Gradient Boosting (Tree) Library.

• Bayesian Methods for Hackers (⭐26k) - Book/iPython notebooks on Probabilistic Programming in Python.

• Featureforge (⭐382) A set of tools for creating and testing machine learning features, with a scikit-learn compatible API.

• thinking bayes (⭐1.6k) - Book on Bayesian Analysis.

• nilearn (⭐1.1k) - Machine learning for NeuroImaging in Python.

• Theano (⭐9.8k) - Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python.

• TensorFlow (⭐181k) - Open source software library for numerical computation using data flow graphs.

• Neural Networks and Deep Learning (⭐15k) - Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].

• Annoy (⭐12k) - Approximate nearest neighbours implementation.

• skbayes (⭐501) - Python package for Bayesian Machine Learning with scikit-learn API.

• Xcessiv (⭐1.3k) - A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling.

C++ / Natural Language Processing

• BLLIP Parser (⭐226) - BLLIP Natural Language Parser (also known as the Charniak-Johnson parser).

Common Lisp / General-Purpose Machine Learning

• cl-online-learning (⭐49) - Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).

• cl-random-forest (⭐59) - Implementation of Random Forest in Common Lisp.

Clojure / Natural Language Processing

• Clojure-openNLP (⭐745) - Natural Language Processing in Clojure (opennlp).

• Infections-clj (⭐214) - Rails-like inflection library for Clojure and ClojureScript.

Clojure / Data Visualization

• Envision (⭐78) - Clojure Data Visualisation library, based on Statistiker and D3.

Go / General-Purpose Machine Learning

• gobrain (⭐550) - Neural Networks written in Go.

Java / General-Purpose Machine Learning

• Datumbox (⭐1.1k) - Machine Learning framework for rapid development of Machine Learning and Statistical applications.

• htm.java (⭐307) - General Machine Learning library using Numenta’s Cortical Learning Algorithm.

• Mahout (⭐2.1k) - Distributed machine learning.

• rapaio (⭐66) - statistics, data mining and machine learning toolbox in Java.

• RapidMiner - RapidMiner integration into Java code.

Java / Data Analysis / Data Visualization

• Impala (⭐31) - Real-time Query for Hadoop.

Java / Deep Learning

• Deeplearning4j (⭐13k) - Scalable deep learning for industry with parallel GPUs.

JavaScript / Natural Language Processing

• Twitter-text (⭐3k) - A JavaScript implementation of Twitter's text processing library.

• natural (⭐10k) - General natural language facilities for node.

• Knwl.js (⭐5.3k) - A Natural Language Processor in JS.

JavaScript / General-Purpose Machine Learning

• figue - K-means, fuzzy c-means and agglomerative clustering.

• Gaussian Mixture Model (⭐26) - Unsupervised machine learning with multivariate Gaussian mixture model.

• mil-tokyo - List of several machine learning libraries.

• Synaptic (⭐6.9k) - Architecture-free neural network library for Node.js and the browser.

• kNear (⭐48) - JavaScript implementation of the k nearest neighbors algorithm for supervised learning.

• Pavlov.js (⭐501) - Reinforcement learning using Markov Decision Processes.

Julia / General-Purpose Machine Learning

• MLBase (⭐186) - A set of functions to support the development of machine learning algorithms.

• DA (⭐9) - Julia package for Regularized Discriminant Analysis.

• Mixed Models (⭐393) - A Julia package for fitting (statistical) mixed-effects models.

• Decision Tree (⭐8) - Decision Tree Classifier and Regressor.

• Neural (⭐47) - A neural network in Julia.

• Mamba (⭐254) - Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.

• GLM (⭐564) - Generalized linear models in Julia.

• Gaussian Processes (⭐304) - Julia package for Gaussian processes.

• GLMNet (⭐95) - Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.

• Kernel Density (⭐162) - Kernel density estimators for Julia.

• NMF (⭐89) - A Julia package for non-negative matrix factorization.

• XGBoost (⭐279) - eXtreme Gradient Boosting Package in Julia.

• ManifoldLearning (⭐89) - A Julia package for manifold learning and nonlinear dimensionality reduction.

• Merlin (⭐144) - Flexible Deep Learning Framework in Julia.

• ROCAnalysis (⭐30) - Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers.

• GaussianMixtures (⭐92) - Large scale Gaussian Mixture Models.

• ScikitLearn (⭐531) - Julia implementation of the scikit-learn API.

• Knet (⭐1.4k) - Koç University Deep Learning Framework.

Julia / Data Analysis / Data Visualization

• Graph Layout (⭐45) - Graph layout algorithms in pure Julia.

• LightGraphs (⭐670) - Graph modelling and analysis.

• Hypothesis Tests (⭐285) - Hypothesis tests for Julia.

• RDataSets (⭐157) - Julia package for loading many of the data sets available in R.

• Time Series (⭐333) - Time series toolkit for Julia.

• Sampling (⭐1) - Basic sampling algorithms for Julia.

Julia / Misc Stuff / Presentations

• JuliaCon Presentations (⭐69) - Presentations for JuliaCon.

• Images (⭐518) - An image library for Julia.

Lua / Demos and Scripts

• Atari2600 (⭐18) - Scripts to generate a dataset with static frames from the Arcade Learning Environment.

Matlab / Computer Vision

• Bandlets - MATLAB code for bandlet transform.

Matlab / General-Purpose Machine Learning

• Training a deep autoencoder or a classifier on MNIST digits - Training a deep autoencoder or a classifier on MNIST digits[DEEP LEARNING].

Python / Natural Language Processing

• Quepy (⭐1.3k) - A python framework to transform natural language questions to queries in a database query language.

• python-ucto (⭐29) - Python binding to ucto (a unicode-aware rule-based tokenizer for various languages).

• Fuzzy Wuzzy (⭐9.1k) - Fuzzy String Matching in Python.

• textacy (⭐2.2k) - higher-level NLP built on Spacy.

• CLTK (⭐812) - The Classical Language Toolkit.

• yase (⭐13) - Transcode sentence (or other sequence) to list of word vector .

• Polyglot (⭐2.2k) - Multilingual text (NLP) processing toolkit.

• DrQA (⭐4.4k) - Reading Wikipedia to answer open-domain questions.

Python / Data Analysis / Data Visualization

• vispy (⭐3.2k) - GPU-based high-performance interactive OpenGL 2D/3D data visualization library.

• SparklingPandas (⭐366) Pandas on PySpark (POPS).

• bqplot (⭐3.5k) - An API for plotting in Jupyter (IPython).

Python / Misc Scripts / iPython Notebooks / Codebases

• Diffusion Segmentation (⭐2) - A collection of image segmentation algorithms based on diffusion methods.

• Scipy Tutorials (⭐2) - SciPy tutorials. This is outdated, check out scipy-lecture-notes.

• Crab (⭐85) - A recommendation engine library for Python.

• BayesPy (⭐103) - Bayesian Inference Tools in Python.

• scikit-learn tutorials (⭐126) - Series of notebooks for learning scikit-learn.

• group-lasso (⭐39) - Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model.

• mne-python-notebooks (⭐24) - IPython notebooks for EEG/MEG data processing using mne-python.

• Neon Course (⭐92) - IPython notebooks for a complete course around understanding Nervana's Neon.

• pandas cookbook (⭐6.4k) - Recipes for using Python's pandas library.

• climin (⭐179) - Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.

Python / Kaggle Competition Source Code

• wiki challenge (⭐11) - An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle.

• kaggle insults (⭐151) - Kaggle Submission for "Detecting Insults in Social Commentary".

• kaggle_acquire-valued-shoppers-challenge (⭐66) - Code for the Kaggle acquire valued shoppers challenge.

• kaggle-cifar (⭐44) - Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet.

• kaggle-blackbox (⭐115) - Deep learning made easy.

• kaggle-accelerometer (⭐15) - Code for Accelerometer Biometric Competition at Kaggle.

• kaggle-advertised-salaries (⭐55) - Predicting job salaries from ads - a Kaggle competition.

• kaggle amazon (⭐25) - Amazon access control challenge.

• kaggle-bestbuy_big (⭐8) - Code for the Best Buy competition at Kaggle.

• Kaggle Dogs vs. Cats (⭐67) - Code for Kaggle Dogs vs. Cats competition.

• Kaggle Galaxy Challenge (⭐489) - Winning solution for the Galaxy Challenge on Kaggle.

• Kaggle Gender (⭐21) - A Kaggle competition: discriminate gender based on handwriting.

• Kaggle Merck (⭐10) - Merck challenge at Kaggle.

• Kaggle Stackoverflow (⭐46) - Predicting closed questions on Stack Overflow.

• wine-quality (⭐25) - Predicting wine quality.

Ruby / Natural Language Processing

• UEA Stemmer (⭐52) - Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing.

Ruby / General-Purpose Machine Learning

• Awesome Machine Learning with Ruby (⭐2k) - Curated list of ML related resources for Ruby.

• rb-libsvm (⭐278) - Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.

Ruby / Data Analysis / Data Visualization

• rsruby (⭐331) - Ruby - R bridge.

R / General-Purpose Machine Learning

• biglasso - biglasso: Extending Lasso Model Fitting to Big Data in R.

• XGBoost.R (⭐572) - R binding for eXtreme Gradient Boosting (Tree) Library.

Scala / Data Analysis / Data Visualization

• Scalding (⭐3.5k) - A Scala API for Cascading.

• Summing Bird (⭐2.1k) - Streaming MapReduce with Scalding and Storm.

• Algebird (⭐2.3k) - Abstract Algebra for Scala.

Scala / General-Purpose Machine Learning

• Conjecture (⭐360) - Scalable Machine Learning in Scalding.

• brushfire (⭐395) - Distributed decision tree ensemble learning in Scala.

• DynaML (⭐198) - Scala Library/REPL for Machine Learning Research.

Swift / General-Purpose Machine Learning

• Swift Brain (⭐333) - The first neural network / machine learning library written in Swift. This is a project for AI algorithms in Swift for iOS and OS X development. This project includes algorithms focused on Bayes theorem, neural networks, SVMs, Matrices, etc...

TensorFlow / General-Purpose Machine Learning

• Awesome TensorFlow (⭐17k) - A list of all things related to TensorFlow.

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