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art-dcgan

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers

benforder

a lean Shiny App in R that let's you test the Benford's Law on a custom population, showing you the suspected items. Find out more on

dat3

General Assembly's Data Science course in Washington, DC

data.table

R's data.table package extends data.frame. More info:

datascience-ai-machinelearning-resources

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

datasciencecoursera

Data Science Specialization Courses from Johns Hopkins University on Coursera

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

datasharing

The Leek group guide to data sharing

dss-dataprodproj-shinyapp

Shiny App project for the Data Product course of the Data Science Specialization JHU/Coursera

emfs.github.io

Erick's blog

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fastai-projects

Jupyter notebooks that use the Fastai library

fun-with-fastai

fast.ai Deep Learning Practices

functional_intro_to_python

A functional, Data Science focused introduction to Python

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

hacksaude-2018

Data crunches for the hacksaude-2018 marathon

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

irkernel

R kernel for IPython

jem-video

Source code examples for the O'Reilly video "Just Enough Math" by Paco Nathan and Allen Day

jose-portilla-py-ds-ml-bootcamp-master-course

JOse Portilla Machine Learning Bootcamp with Python

lectures

Oxford Deep NLP 2017 course

littleinferencebook

A book for the coursera statistical inference class

machine-learning

Implementation of different machine learning techniques

modelostex

Conjunto de modelos de documentos (TeX).

practical-ml-project

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

projectgettingcleaningdata

The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. You will be graded by your peers on a series of yes/no questions related to the project. You will be required to submit: 1) a tidy data set as described below, 2) a link to a Github repository with your script for performing the analysis, and 3) a code book that describes the variables, the data, and any transformations or work that you performed to clean up the data called CodeBook.md. You should also include a README.md in the repo with your scripts. This repo explains how all of the scripts work and how they are connected. https://class.coursera.org/getdata-014/human_grading/view/courses/973501/assessments/3/submissions

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research