Pinned Repositories
Analyzing-Visualizing-Data-Excel
Apollo-11
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
bayes-od-rc
Uncertainty estimation for anchor-based deep object detectors.
bayesian-yolov3
YOLOv3 object detection architecture with uncertainty estimation.
BBox-Label-Tool
A simple tool for labeling object bounding boxes in images
bigdata-ucsd
Coursera Big Data - UC San Diego
bitcoin
Bitcoin Core integration/staging tree
Bitcoin-and-Cryptocurrency-Technologies
Bitcoin and Cryptocurrency Technologies by Princeton University (https://www.coursera.org/learn/cryptocurrency)
TFM_UAH_RGR
Trabajo fin de master UAH
titanicDataClean
:es: :boat: Utilización del dataset de Kaggle denominado 'titanic' para práctica de limpieza de datos
rgarciarui's Repositories
rgarciarui/TFM_UAH_RGR
Trabajo fin de master UAH
rgarciarui/bayes-od-rc
Uncertainty estimation for anchor-based deep object detectors.
rgarciarui/bayesian-yolov3
YOLOv3 object detection architecture with uncertainty estimation.
rgarciarui/Cirq
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
rgarciarui/d3-book
Code examples for “Interactive Data Visualization for the Web”
rgarciarui/DataScienceCoursera
Coursera DataScience
rgarciarui/dataset-CFPD
rgarciarui/Estadistica-con-R
Apuntes personales sobre estadística, machine learning y lenguaje de programación R
rgarciarui/federated-averaging-tutorials
A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
rgarciarui/GoTGraphGist
Project to play with Neo4J using Game of Thrones data
rgarciarui/gscholar
Query Google Scholar with Python
rgarciarui/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
rgarciarui/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
rgarciarui/KTPV_complexity
Datasets compiled from Futur.UPC for the purpose of understanding and treatment for an article in ICICKM 2020
rgarciarui/Machine-learning-without-any-libraries
This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms
rgarciarui/MasterUAH_PEC_AnalisisDatos
Pec Asignatura Análisis de Datos de la UAC Master Data Science
rgarciarui/mbd-bidw
Business Intelligence and Data Warehousing
rgarciarui/mib
Repositorio adicional de las asignaturas impartidas en el Master de Inteligencia de Negocio y Big Data de la UOC
rgarciarui/ml4a-guides
practical guides, tutorials, and code samples for ml4a
rgarciarui/neural-networks-and-deep-learning
This is my assignment on Andrew Ng's course “neural networks and deep learning”
rgarciarui/qnlp
NLP stuff with quantum computing
rgarciarui/qosf.org
Web portal of Quantum Open Source Foundation
rgarciarui/qrack
Comprehensive, GPU accelerated framework for developing universal virtual quantum processors
rgarciarui/Quantum-Computing
This is the follow up repository for my course on Quantum Computing (Theory, Simulations and Programming)
rgarciarui/QuEST
A multithreaded, distributed, GPU-accelerated simulator of quantum computers
rgarciarui/recommenders
Best Practices on Recommendation Systems
rgarciarui/sample_udemy
Sample code for Tensorflow SSD
rgarciarui/UAH_HA_PEC1
Evaluación entre pares
rgarciarui/UAH_HA_PEC2
API REST
rgarciarui/word2vecpy
Python implementation of CBOW and skip-gram word vector models, and hierarchical softmax and negative sampling learning algorithms