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RomeoV

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Benchmarking script for MindtPy solvers in the pyomo framework solving MINLP instance. This was created as part of my bachelor thesis during my stay at Carnegie Mellon University in Professor Ignacio Grossmanns group.

ml4co-competition

Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.

Python

FasterSLAM

A highly optimized implementation of the FastSLAM algorithm using AVX (assembly) instructions, data restructuring and extensive benchmarking.

C++

ThreadedDenseSparseMul.jl

Threaded implementation of dense-sparse matrix multiplication.

Julia

ProbabilisticAI-Projects

Projects for the ProbabilisticAI2020 course at ETH

Python

ParticleLife.jl

Julia

deep-local-features

Fast and robust key point detection and feature matching using DNN. Semester Project for the Deep Learning 2020 course at ETH Zürich.

Jupyter Notebook

16-362-Mobile-Robot-Algorithms-Laboratory

MATLAB

comp-stats-cheat-sheet

Cheat sheet for lecture "Computational Statistics (Spring 2021)" at ETH, given my Martin Mächler.

TeX

DisentanglingVAE.jl

Julia

dotfiles

Welcome to my `/home`.

Emacs Lisp

RomeoV/pyomo-MINLP-benchmarking

RomeoV

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