Pinned Repositories
alexandra_hotti_resume
Applied-Estimation
Solutions to assignments on tracking and localization using Kalman Filtering, Extended Kalman Filtering and Particle Filtering
Artificial-Intelligence
The repository contains lab assignments for a course in Artificial Intelligence. These assignments deal with Hidden Markov Models and Zero Sum Games.
BayesianInsurancePricingMetropolisHastings
Deep-Learning-in-Data-Science
This repository contains assignment solutions for the course DD2424 Deep Learning in Data Science. These assignments deal with Feed Forward Neural Networks and a RNN used to synthesize English text characters.
efficient-mixtures
Code for reproducing results for "Efficient Mixture Learning in Black-Box VI"
Face-Tracking-Particle-Filter
A color-based particle filter with a self-updating tracking window to track faces in image sequences.
Simpsons-Image-Colorization-using-cGAN-and-PatchGAN
In this project, grayscale images were colorized automatically using Conditional Generative Adversarial Networks (cGANs). The best results were achieved using a PatchGAN discriminator.
Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
product-page-dataset
alexandrahotti's Repositories
alexandrahotti/Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
alexandrahotti/Face-Tracking-Particle-Filter
A color-based particle filter with a self-updating tracking window to track faces in image sequences.
alexandrahotti/BayesianInsurancePricingMetropolisHastings
alexandrahotti/efficient-mixtures
Code for reproducing results for "Efficient Mixture Learning in Black-Box VI"
alexandrahotti/Simpsons-Image-Colorization-using-cGAN-and-PatchGAN
In this project, grayscale images were colorized automatically using Conditional Generative Adversarial Networks (cGANs). The best results were achieved using a PatchGAN discriminator.
alexandrahotti/alexandra_hotti_resume
alexandrahotti/Applied-Estimation
Solutions to assignments on tracking and localization using Kalman Filtering, Extended Kalman Filtering and Particle Filtering
alexandrahotti/Artificial-Intelligence
The repository contains lab assignments for a course in Artificial Intelligence. These assignments deal with Hidden Markov Models and Zero Sum Games.
alexandrahotti/Deep-Learning-in-Data-Science
This repository contains assignment solutions for the course DD2424 Deep Learning in Data Science. These assignments deal with Feed Forward Neural Networks and a RNN used to synthesize English text characters.
alexandrahotti/product-page-dataset
alexandrahotti/pyro
Deep universal probabilistic programming with Python and PyTorch
alexandrahotti/QUIZZY
A fullstack react native multiplayer real time trivia game. Made as a final project in the course: DD1389 Internet Programming at KTH.
alexandrahotti/EL2805_RL
alexandrahotti/Image-Analysis-and-Computer-Vision
Lab assignments for a course called Image Analysis and Computer Vision at KTH. These assignments deal with Fourier transformations, Geometry-based Edge Detection via Hough transformations and lastly Image Segmentation methods.
alexandrahotti/Internet_Programmering
alexandrahotti/Software-Engineering
Lab assignments for a course in Software Engineering at KTH
alexandrahotti/Statistical-Methods-in-Applied-Computer-Science
Solutions to Assignments about Statistical Methods in Applied Computer Science, dealing with Bayesian probability, Markov Chain Monte Carlo methods, Gibbs sampling, Metropolis Hastings and particle marginal Metropolis-Hastings.