Fernando AR's repositories
Reinforcement-Learning-1
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
awesome-apache-airflow
Curated list of resources about Apache Airflow
awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-etl
A curated list of awesome ETL frameworks, libraries, and software.
awesome-robotics
A list of awesome Robotics resources
awesome-robotics-1
A curated list of awesome links and software libraries that are useful for robots.
awesome-robotics-libraries
:sunglasses: A curated list of robotics libraries and software
awesome-ros2
The Robot Operating System Version 2.0 is awesome!
aws-ml-guide
[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide
ccoss-airflow-workshop-2019
Materials for the Apache Airflow CCOSS workshop.
cheatsheets
RStudio Cheat Sheets
cloud-data-analysis-at-scale
Course taught at Duke MIDS/UNCC
dl-keras-tf
rstudio::conf(2020) deep learning workshop
est-computacional-2018
Notas de la clase de estadística computacional, maestría en Ciencia de Datos, ITAM
Hands-On-Generative-Adversarial-Networks-with-Keras
Hands-On Generative Adversarial Networks with Keras, published by Packt
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
jupyter-ros
Jupyter widget helpers for ROS, the Robot Operating System
lectures-all
Central repository for all lectures on deep learning at UPC ETSETB TelecomBCN.
machine-learning
Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com
MongoDB_PyMongo_Tutorial
Introduction to MongoDB and tutorial to implement in Python using PyMongo
OpenSource-RoadMap-DataScience
¡Camino a una educación autodidacta en Ciencia de Datos!
presentations
A central repository of Business Science presentations
prospectr
R package: Misc. Functions for Processing and Sample Selection of Spectroscopic Data
PythonRobotics
Python sample codes for robotics algorithms.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
robotics-coursework
A curated collection of places where you can learn robotics, algorithms, and other useful tools for aspiring robotics software engineers.