# Awesome List Updates on Nov 01, 2017

6 awesome lists updated today.

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## 1. Awesome Hacking Locations

#### 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/

Wifi | Power | Coffee | Address | Open Hours |
---|---|---|---|---|

open, password on wall | ✔ | ✔ | 399 W Broadway, New York, NY 10013 | Open Weekdays 7am - 8pm Weekends 8am - 8pm |

## 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 / Advanced math

- 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.

- Explore the

## 6. Awesome Machine Learning

C / Computer Vision

- CCV (⭐7.1k) - 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 (⭐26k) - Python bindings for eXtreme Gradient Boosting (Tree) Library.

- Bayesian Methods for Hackers (⭐27k) - Book/iPython notebooks on Probabilistic Programming in Python.

- Featureforge (⭐381) 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 (⭐1.2k) - Machine learning for NeuroImaging in Python.

- Theano (⭐9.9k) - Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python.

- TensorFlow (⭐185k) - Open source software library for numerical computation using data flow graphs.

- Neural Networks and Deep Learning (⭐16k) - Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].

- Annoy (⭐13k) - Approximate nearest neighbours implementation.

- skbayes (⭐511) - 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 (⭐227) - BLLIP Natural Language Parser (also known as the Charniak-Johnson parser).

Common Lisp / General-Purpose Machine Learning

- cl-online-learning (⭐50) - 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 (⭐751) - Natural Language Processing in Clojure (opennlp).

- Infections-clj (⭐215) - 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 (⭐556) - 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 (⭐309) - General Machine Learning library using Numenta’s Cortical Learning Algorithm.

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

- rapaio (⭐69) - 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 (⭐14k) - Scalable deep learning for industry with parallel GPUs.

JavaScript / Natural Language Processing

- Twitter-text (⭐3.1k) - A JavaScript implementation of Twitter's text processing library.

- natural (⭐11k) - 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 (⭐499) - 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 (⭐402) - 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 (⭐584) - Generalized linear models in Julia.

- Gaussian Processes (⭐308) - Julia package for Gaussian processes.

- GLMNet (⭐96) - Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.

- Kernel Density (⭐176) - Kernel density estimators for Julia.

- NMF (⭐90) - A Julia package for non-negative matrix factorization.

- XGBoost (⭐289) - eXtreme Gradient Boosting Package in Julia.

- ManifoldLearning (⭐92) - 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 (⭐96) - Large scale Gaussian Mixture Models.

- ScikitLearn (⭐547) - 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 (⭐669) - Graph modelling and analysis.

- Hypothesis Tests (⭐293) - Hypothesis tests for Julia.

- RDataSets (⭐158) - Julia package for loading many of the data sets available in R.

- Time Series (⭐348) - Time series toolkit for Julia.

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

Julia / Misc Stuff / Presentations

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

- Images (⭐527) - 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 (⭐9.2k) - Fuzzy String Matching in Python.

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

- CLTK (⭐825) - The Classical Language Toolkit.

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

- Polyglot (⭐2.3k) - Multilingual text (NLP) processing toolkit.

- DrQA (⭐4.5k) - Reading Wikipedia to answer open-domain questions.

Python / Data Analysis / Data Visualization

- vispy (⭐3.3k) - GPU-based high-performance interactive OpenGL 2D/3D data visualization library.

- SparklingPandas (⭐364) Pandas on PySpark (POPS).

- bqplot (⭐3.6k) - 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 (⭐87) - A recommendation engine library for Python.

- BayesPy (⭐107) - Bayesian Inference Tools in Python.

- scikit-learn tutorials (⭐127) - 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 (⭐25) - IPython notebooks for EEG/MEG data processing using mne-python.

- Neon Course (⭐93) - IPython notebooks for a complete course around understanding Nervana's Neon.

- pandas cookbook (⭐6.6k) - 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 (⭐150) - 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 (⭐66) - Code for Kaggle Dogs vs. Cats competition.

- Kaggle Galaxy Challenge (⭐492) - 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 (⭐53) - Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing.

Ruby / General-Purpose Machine Learning

- Awesome Machine Learning with Ruby (⭐2.1k) - 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 (⭐332) - Ruby - R bridge.

R / General-Purpose Machine Learning

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

- XGBoost.R (⭐571) - 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 (⭐359) - Scalable Machine Learning in Scalding.

- brushfire (⭐391) - Distributed decision tree ensemble learning in Scala.

- DynaML (⭐200) - Scala Library/REPL for Machine Learning Research.

Swift / General-Purpose Machine Learning

- Swift Brain (⭐334) - 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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