gustavodemari

gustavodemari's Stars

• quasarframework/quasar

  Quasar Framework - Build high-performance VueJS user interfaces in record time

  Language:JavaScript25.5k4687.7k3.5k

• ColorlibHQ/gentelella

  Free Bootstrap 4 Admin Dashboard Template

  Language:HTML21k1.1k6486.9k

• fivethirtyeight/data

  Data and code behind the articles and graphics at FiveThirtyEight

  Language:Jupyter Notebook16.7k1.3k16111k

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.4k4373.3k3.8k

• jupyterlab/jupyterlab

  JupyterLab computational environment.

  Language:TypeScript14k3128.3k3.2k

• beamandrew/medical-data

  5.8k337201.1k

• tyiannak/pyAudioAnalysis

  Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

  Language:Python5.8k2103071.2k

• keras-rl/keras-rl

  Deep Reinforcement Learning for Keras.

  Language:Python5.5k2032401.4k

• transcranial/keras-js

  Run Keras models in the browser, with GPU support using WebGL

  Language:JavaScript5k179115503

• rasbt/mlxtend

  A library of extension and helper modules for Python's data analysis and machine learning libraries.

  Language:Python4.8k116472855

• RJT1990/pyflux

  Open source time series library for Python

  Language:Python2.1k70151240

• kuz/DeepMind-Atari-Deep-Q-Learner

  The original code from the DeepMind article + my tweaks

  Language:Lua1.8k15434532

• justmarkham/DAT8

  General Assembly's 2015 Data Science course in Washington, DC

  Language:Jupyter Notebook1.6k11311.1k

• joedicastro/vps-comparison

  A comparison between some VPS providers. It uses Ansible to perform a series of automated benchmark tests over the VPS servers that you specify. It allows the reproducibility of those tests by anyone that wanted to compare these results to their own. All the tests results are available in order to provide independence and transparency.

  Language:Python1.4k472379

• bashtage/arch

  ARCH models in Python

  Language:Python1.3k45208247

• reiinakano/xcessiv

  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

  Language:Python1.3k5534105

• vict0rsch/deep_learning

  Deep Learning Resources and Tutorials using Keras and Lasagne

  Language:Python4244018157

• chncyhn/flappybird-qlearning-bot

  Flappy Bird Bot using Reinforcement Learning

  Language:Python415181094

• dhammack/DSB2017

  Code for 2nd place solution to the 2017 National Data Science Bowl

  Language:Python3461918157

• ftramer/Steal-ML

  Model extraction attacks on Machine-Learning-as-a-Service platforms.

  Language:Python33918797

• jseabold/538model

  538 Election Forecasting Model

  Language:Python292220117

• EderSantana/awesomeMLmath

  Curated list to learn the math basics for machine learning

  24418143

• notpeter/crunchbase-data

  2015 CrunchBase Data Export as CSV

  Language:Python15621683

• simaaron/kaggle-Rain

  Winning solution to the Kaggle competition - How Much Did It Rain? II

  Language:Python15610180

• kaimallea/demoinfogo-linux

  Linux, OSX port of Valve's demoinfogo tool

  Language:C++152201738

• omercadopopular/cgoes

  Research by Carlos Góes

  Language:Jupyter Notebook14031141

• davidthaler/Walmart_competition_code

  This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.

  Language:R13391100

• Lab41/hermes

  Recommender System Framework

  Language:Jupyter Notebook12426156

• ellisp/forecastHybrid

  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package

  Language:R8098123

• amueller/advanced_git_nyu_2016

  Advanced git and github course material

  Language:HTML396010