Carlos Gavidia-Calderon's starred repositories
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
google-research
Google Research
spinningup
An educational resource to help anyone learn deep reinforcement learning.
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
ML_SageMaker_Studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
Deep-Learning-with-TensorFlow-2-and-Keras
Deep Learning with TensorFlow 2 and Keras, published by Packt
Generative-Adversarial-Networks-Projects
Generative Adversarial Networks Projects, published by Packt
biojava-tutorial
:book::books:An introductory tutorial for BioJava
Hands-On-Generative-Adversarial-Networks-with-Keras
Hands-On Generative Adversarial Networks with Keras, published by Packt
ScipyNumpy_book_examples
The Python code examples from the SciPy and NumPy O'Reilly book
RVRPSimulator
Powerful Rich Vehicle Routing Problem Simulator
SOFTX_2019_61
A Java Framework for Ant Colony Optimization algorithms. To cite this software contribution: https://www.sciencedirect.com/science/article/pii/S2352711019300639