Alonso Ogueda-Oliva (aoguedao)

aoguedao

Geek Repo

Company:George Mason University

Location:United States

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

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Alonso Ogueda-Oliva's repositories

mat281_2020S2

Repositorio para el curso MAT281 - Aplicaciones de la Matemática en Ingeniería - Segundo Semestre 2020 - UTFSM - Chile

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alimd

An approach to local influence with massive data

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custom-ds-stack

A custom toolbox based on Jupyter Docker Stacks

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dinn_covid19

A Review and Application of Disease Informed Neural Network applied on COVID-19 models

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neural_computing_workshop

Foundations of Neural Computing and Applications

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wildfires-modeling

Wildfires Statistical Modeling

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aoguedao

Config files for my GitHub profile.

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aoguedao.github.io

A kind of personal website.

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COVID-19

Análisis de datos de COVID-19 en Chile

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deepxde

A library for scientific machine learning and physics-informed learning

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DINN

Disease Informed Neural Networks (DINNs) — neural networks capable of learning how diseases spread, forecasting their progression, and finding their unique parameters (e.g. death rate).

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gemini-gmu

Fork of Gemini repository for GMU (unofficial)

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latex-homework

LaTeX class for homework assignments

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mat281_portfolio_template

Template del portafolio para el curso MAT281 - Aplicaciones de la Matemática en la Ingeniería - UTFSM - Chile.

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math665_mathematics_for_data_science

MATH 665 - Mathematics for Data Science - George Mason University - Spring 2022

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math685_numerical_analysis

MATH 685 - Numerical Analysis - George Mason University - Fall 2021

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math689-introduction-to-quantum-computation-and-information

Introduction to Quantum Computation and Quantum Information - GMU

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modeling_infectious_diseases_workshop

Computational models, tools and simulation for dynamics, prediction and control of infectious diseases.

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teaching-ml-diffeq

Literate programming for motivating and teaching neural network based approaches to solve differential equations

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understanding-post-pandemic-math-modeling

Understanding the Post-Pandemic spread of COVID-19 dynamics due to Under-Reporting, Vaccine Efficiency and Social Behavior via Mathematical Modeling

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