blas-ko

Blas Kolic's repositories

LatentStateInitialization

Code for Kolic et al. (2022) "Estimating initial conditions for dynamical systems with incomplete information"

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Twitter_chambers

code for Kolic and Aguirre-Lopez article: "Quantifying the structure of controversial discussions with unsupervised methods: a look into the Twitter climate change conversation"

Language:Jupyter NotebookMIT500

Arenas-covid19-model

This repository contains the python code for Alex Arenas et al. model of epidemic contaigion of the SARS-Cov2 virus.

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tesis_fisica_licenciatura

Desarrollo de tesis sobre Jet Transport con el Dr. Luis Benet.

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Applied-Machine-Learning-in-Python

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coronavirus

Simple SIRD model of coronavirus propagation, for demonstration and learning.

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Mexico-datos

Datos de la pandemia del COVID19 en Mexico

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b84_information_theory_broadening

Broadening mini-project for B8.4 Information Theory course at the Mathematical Institute, University of Oxford.

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BTM

Code for Biterm Topic Model (published in WWW 2013)

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cali

Agent-based Model Calibration Package

Language:Jupyter NotebookMIT000

continuous_optimization_broadening

Broadening mini-project for C6.2 HT20.

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COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

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covid-19-data

Data on COVID-19 (coronavirus) confirmed cases, deaths, and tests • All countries • Updated daily by Our World in Data

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covid-19-tracker

This is the data repository for the Imperial College London YouGov Covid 19 Behaviour Tracker Data Hub.

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COVID-19-TweetIDs

The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.

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COVID19-Mexico

Página para visualizar y descargar datos del Coronavirus en Mexico, así como estadísticas relevantes.

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DataAssim.jl

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

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enkf_python

Vanilla implementation of the Ensemble Kalman filter in Python

Language:Jupyter NotebookMIT000

infomap

Multi-level network clustering based on the Map equation

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julia

The Julia Language: A fresh approach to technical computing.

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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