Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

Summaries / Cheat Sheets created at ETH Zurich BsC Computer Science & MsC Data Science

Summaries and study materials I've written over the course of my studies at ETH Zurich

Mixed-curvature Variational Autoencoders (ICLR 2020)

[3DV21] Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision, M. Türkoǧlu et al.

Autonomous Mobile Robot Problem Sets and Exercises (Spring 2017) @ ETH

Programming for Robotics - ROS (Spring 2017) @ ETH

[ETH Zurich] My projects for the module "Advanced Machine Learning" at ETH Zürich (Swiss Federal Institute of Technology in Zurich) during the academic year 2019-2020.

Robot Operating System exercises (ETH Zürich)

ETH Zurich ROS Exercise solution

Cosmological parameter estimation with the MCMC Hammer, please use https://cosmo-gitlab.phys.ethz.ch/cosmo/CosmoHammer, this repository is outdated ! Docs at http://cosmo-docs.phys.ethz.ch/cosmoHammer/

In this project we have explored the use of imaging time series to enhance forecasting results with Neural Networks. The approach has revealed itself to be extremely promising as, both in combination with an LSTM architecture and without, it has out-performed the pure LSTM architecture by a solid margin within our test datasets.

Cheatsheets for various subjects from the BSc in Computer Science at ETH Zurich

1D simulations using Lattice Boltzmann method

Machine Learning

Exam summary for Computational Intelligence Lab, ETH Zurich, SS16

ETH Zürich report titlepage designed with the LaTeX xcoffins package.

This repo contains the source code for the summaries I wrote during my studies at ETH Zürich.

Optimized implementation of fractal compression algorithm