David Ramos (DavidRamosSal)

DavidRamosSal

Geek Repo

Company:Universidad Industrial de Santander

Location:Finland

Home Page:https://davidramossal.github.io/

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David Ramos's repositories

stellar_structure

Solution to the structure equations on GR given real tabulated dense matter equations of state

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AQM

Repository to save QM codes

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Bachelors_thesis

Bachelor's thesis

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Bachelors_thesis_proposal

Repository for my undergrad thesis proposal

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eensight

The measurement and verification methodology of the H2020 project SENSEI

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fisicoquimica

En este repositorio encontrarás tópicos sobre fisicoquímica, tanto teoría como instrumentación.

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playlist_sentiment_analyser

Web app that generates a sentiment analysis report for a Spotify playlist which includes: lyrics sentiment, lyrics lexical diversity, audio valence and audio energy, among others.

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SpinMCFork.jl

Classical Monte Carlo simulations for lattice spin systems

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dez-project-emi

Repository for the Data Engineering Zoomcamp Project.

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fraud-detection

Credit card fraud detection. Highly imbalaced dataset.

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gg-ez

Data fetching, consolidation, processing and analytics to became the next GOD in fantasy football

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HeadCTSegmentation

Multi-class U-Net for head CT segmentation

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kedro-tf-image

Kedro pipelines for preprocessing images for TensorFlow.

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latex-template-collection

Collection of different LaTeX/XeTeX templates (cv, invoices, timesheets, letters, etc.).

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mlreview_notebooks

Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."

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nsstruc

Let's make neutron stars with python!

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portfolYOU

A beautiful portfolio Jekyll theme that works with GitHub Pages.

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premier-league

A Data Engineering project. Repository for backend infrastructure and Streamlit app files for a Premier League Dashboard.

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product-recommendation

Investigation of product recommendation approaches and open datasets

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sage-astro

Using SageManifolds to do GR calculations for compact objects

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solenoid

Magnetostatics Project

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wind-power-forecasting

Wind Power Forecasting using Machine Learning techniques.

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