AnakinNN's repositories
A-Handbook-of-Mathematical-Models-with-Python
A Handbook of Mathematical Models with Python, published by Packt
Agents.jl
Agent-based modeling framework in Julia
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
Bayesian_Neural_Network_Probabilistic_Ionosphere_VTEC
Bayesian neural network models for probabilistic VTEC forecasting with 95% confidence, from the paper "Uncertainty Quantification for Machine Learning-based Ionosphere and Space Weather Forecasting" by Natras et al. (submitted to the Space Weather, AGU)
CERN-iCSC-2023-Computing-School
Materials and codes for the lecture "An introduction to Bayesian Neural Network and uncertainty quantification in Deep Learning"
DataScienceExam
Repository for code used in the Data Science Exam project. In it are two ipynb files, one used to train the ASR models and the other for statistical analysis. There are also three JSON files containing the results of training the models. Lastly, there is a PDF file which is the report for this exam project.
demo-production-planning
The code for the Production Planning demo
dreaminsg-integrated-model
An integrated water-power-transportation model for network simulations.
FactoryPlanner
A mod for Factorio. Allows you to plan out your production in detail.
FluidX3D
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
Gonzalo_Plaza_VC_Portfolio
This project aims to create an agent-based model trained using deep reinforcement learning to find the optimal number of startups in a venture capital portfolio.
gurobi-machinelearning
Formulate trained predictors in Gurobi models
InfraRiskTX
InfraRiskTX critical infrastruture assessment project.
javascript-essential-training-2832077
This repository is for the Linkedin Learning course: JavaScript Essential Training
JuliaGraphsTutorials
Tutorials in the form of Jupyter notebooks for the JuliaGraphs ecosystem
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.
MajorityVotingCollectiveAccuracy
I use an agent-based model to explore the impact of imperfect competence and social influence on majority voting. This repository contains the code for an agent-based model and simulations of majority voting, for producing some figures, and for a statistical analysis.
mcmc
Code and notebooks for simple Markov chain, Monte Carlo, and Markov chain Monte Carlo algorithms.
ODCRN
[ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19
Passenger-Transport-Model-for-France
Agent-based modeling of passenger transport and their choice of transport means. The main goal was to assess the complementary existence of two important transport method: train and airplane.
portfolio_optimization_with_mosek
Python tutorials on solving portfolio optimization problems using MOSEK.
PortfolioOptimization
Material accompanying the MOSEK Portfolio Optimization Cookbook
practice-it-cpp-common-data-structures-3269044
This repo is for the Linkedin Learning course: Practice It C++: Common Data Structures
ramstk
Reliability, Availability, Maintainability, Safety (RAMS) analysis program.
trainsimulator
Modelling Transit System Station Occupancy using Numerical Simulation
Tutorials
A collection of tutorials for the MOSEK package
vehicle-allocation-in-NetLogo-using-RL
Constructed an RL framework to train vehicles in the parking lot to learn a allocation strategy. The parking lot model is an agent-based model constructed in NetLogo