Blog Posts

  • Why GitHub? and How to Use GitHub?

    Introduction

    GIT is a version control to keep track of code, and (GitHub)’s syntax provides such services. With that in mind, “Github has become the world’s leading repository of open-source computer code” (Banks 2017) and hosts many open source projects for machine learning and deep learning such as tensorflow , keras, theano , among many others. But that is not the only attractive part of Github, it can also be used for scientific writing where you can have open discussions for your work which, esentially, the openness of Github plays a crucial role in scientific research (Klemm 2014). In the scientific world, Github is much more used than mercurial and bitbucket. A scholar.google search yields 199,000 results for a “github” search, while a “bitbucket” search only returns 15,400 results. on the 3 of March 2018 (EuroScipy 2013). In this regard, one interesting journal is ReScience, which its goal is to make available the explicit replication of already published computational research. ReScience lives on GitHub where each new implementation of computational studies are made available together with comments, explanations and tests (ReScience 2018).

  • Submission Process

    Overview

    Our goal for ML4MX is to increase the transparency and to improve the reproducibility and openness of any project of Machine Learning for Mexico. With this in mind, ML4MX has adopted the submission process for blog entries and projects of the peer-reviewed journal ReScience.