gustavodemari's Stars
ossu/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
ripienaar/free-for-dev
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
minimaxir/big-list-of-naughty-strings
The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
nylas/nylas-mail
:love_letter: An extensible desktop mail app built on the modern web. Forks welcome!
louischatriot/nedb
The JavaScript Database, for Node.js, nw.js, electron and the browser
Automattic/wp-calypso
The JavaScript and API powered WordPress.com
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
TechEmpower/FrameworkBenchmarks
Source for the TechEmpower Framework Benchmarks project
ajenti/ajenti
Ajenti Core and stock plugins
mautic/mautic
Mautic: Open Source Marketing Automation Software.
yenchenlin/DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
meanjs/mean
MEAN.JS - Full-Stack JavaScript Using MongoDB, Express, AngularJS, and Node.js -
baidu-research/warp-ctc
Fast parallel CTC.
felipernb/algorithms.js
Atwood's Law applied to CS101 - Classic algorithms and data structures implemented in JavaScript
ionic-team/ng-cordova
OBSOLETE: Please move to Ionic Native https://github.com/ionic-team/ionic-native
tensorflow/skflow
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
minimaxir/facebook-page-post-scraper
Data scraper for Facebook Pages, and also code accompanying the blog post How to Scrape Data From Facebook Page Posts for Statistical Analysis
szilard/benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
guymorita/recommendationRaccoon
A collaborative filtering based recommendation engine and NPM module built on top of Node.js and Redis. The engine uses the Jaccard coefficient to determine the similarity between users and k-nearest-neighbors to create recommendations. This module is useful for anyone with a database of users, a database of products/movies/items and the desire to give their users the ability to like/dislike and receive recommendations.
mogill/ems
Extended Memory Semantics - Persistent shared object memory and parallelism for Node.js and Python
malikov/Authenticate.me-client-cordova-ionic
How to authenticate using username / password, instagram, twitter or facebook, in a hybrid app (ionic + cordova). This sample app is powered by a nodejs server :)
maciejjaskowski/deep-q-learning
jdx/node-sample
how to use node in production
gustavohmo/politica-aberta
Aplicacao do Politica Aberta - http://www.politicaaberta.org
markshust/tessel-nfl
A script for the tessel that uses the NFL's ScoreScript JSON feed to check the scores for a specific game, and trigger an attached relay on a score.