Carlos Gavidia-Calderon's starred repositories
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
burlap_examples
Tutorial and example code for BURLAP (http://burlap.cs.brown.edu)
gharchive.org
GH Archive is a project to record the public GitHub timeline, archive it, and make it easily accessible for further analysis.
testing-in-scala-book
Book code for Testing in Scala on O'Reilly
geometry-api-java
The Esri Geometry API for Java enables developers to write custom applications for analysis of spatial data. This API is used in the Esri GIS Tools for Hadoop and other 3rd-party data processing solutions.
programming-scala-book-code-examples
The code examples used in Programming Scala, 2nd and 3rd Editions (O'Reilly)
LearningScalaMaterials
Supplementary materials for the "Learning Scala" book from O'Reilly Media
markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
creating-google-chrome-extensions
Source code for 'Creating Google Chrome Extensions' by Prateek Mehta
resume.github.com
Resumes generated using the GitHub informations
python-algorithms
Source code for 'Python Algorithms' by Magnus Lie Hetland
effectivepython
Effective Python: Second Edition — Source Code and Errata for the Book
algorithms-nutshell-2ed
Code Repository associated with "Algorithms In A Nutshell", 2ed, published by O'Reilly Media, Inc. http://shop.oreilly.com/product/0636920032885.do
example-code
Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)
coding-interview-university
A complete computer science study plan to become a software engineer.
high_performance_python
Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly
stanfordacm
Stanford ACM-ICPC related materials
dynamics_sim
A generic evolutionary game theory simulation library