emfs Goto Github PK
Name: EMFS
Type: User
Company: TCU
Bio: Data scientist, ML practitioner.
Twitter: ErickMuzart
Location: Brasília
Name: EMFS
Type: User
Company: TCU
Bio: Data scientist, ML practitioner.
Twitter: ErickMuzart
Location: Brasília
Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
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
General Assembly's Data Science course in Washington, DC
R's data.table package extends data.frame. More info:
Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.
Data Science Specialization Courses from Johns Hopkins University on Coursera
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
The Leek group guide to data sharing
Shiny App project for the Data Product course of the Data Science Specialization JHU/Coursera
Erick's blog
Plotting Assignment 1 for Exploratory Data Analysis
Jupyter notebooks that use the Fastai library
fast.ai Deep Learning Practices
A functional, Data Science focused introduction to Python
Code for the paper "Language Models are Unsupervised Multitask Learners"
Data crunches for the hacksaude-2018 marathon
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
R kernel for IPython
Source code examples for the O'Reilly video "Just Enough Math" by Paco Nathan and Allen Day
JOse Portilla Machine Learning Bootcamp with Python
Oxford Deep NLP 2017 course
A book for the coursera statistical inference class
Implementation of different machine learning techniques
Conjunto de modelos de documentos (TeX).
Repository for Programming Assignment 2 for R Programming on Coursera
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
The "Python Machine Learning" book code repository and info resource
Peer Assessment 1 for Reproducible Research
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.