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deeponet for neural operator learning

DeepONet is a neural network architecture for operator learning, mapping functions to functions. it’s especially useful for infinite-dimensional problems like PDEs and scientific simulations …

December 19, 2024

úvod do strojového učení

přehled základních konceptů strojového učení

August 1, 2024

protein family classification with nlp

classifying protein sequences into their most common UniProt families using pretty basic NLP tricks. i tried k-NN, decision trees, and random forests and compared how they did.

September 11, 2023

analysis of market price gdp per capita across european countries

comparing GDP per capita across European countries in 2014, and pulling in a few country-level factors to see what lines up with it. Dataset Year Description Source nama_10_pc 2014 Main GDP aggregates …

June 23, 2022

bernstein-vazirani algorithm explained

the bernstein-vazirani algorithm is a quantum algorithm from Bernstein and Vazirani, back in 1992. it pulls out a hidden string in a single query where any classical approach needs one query per bit. …

May 10, 2022

regression analysis of nitrate concentration in rivers

i used the ex1221 dataset from the Sleuth2 R package to see what drives nitrate concentration (NO3) in river mouths. # Load required packages library(Sleuth2) library(ggplot2) library(GGally) …

April 21, 2022

network analysis of prague public transport

data is sourced from the Prague Public Transport Open Data portal, specifically the GTFS (General Transit Feed Specification) timetables. import collections import math import warnings import …

March 17, 2022

dimensionality reduction

high-dimensional data for image classification. we try a few classification models and dimensionality reduction techniques and see what works. the goal is a solid binary classifier that also does well …

July 18, 2021

analysis of crime data in austria

The analysis of the crime data in Austria for the year 2021, focusing on NUTS 3 regions, with the data sourced from Eurostat. Data Preprocessing We will focus on the Austrian regions according to the …

March 8, 2021

quantum bloch maze, a puzzle game

bloch maze is a 2D puzzle game that mixes classic maze navigation with basic quantum computing ideas. it’s open-sourced here: https://github.com/chutommy/bloch-maze the concept the point of …

February 13, 2021

statistical analysis of data on natural selection

i’m looking at whether sparrow arm bone length has anything to do with surviving a winter storm. the dataset has humerus measurements for birds that made it and birds that didn’t. …

December 20, 2020

animal shelter in austin, texas - data analysis

an exploratory look at the animal intake and outcome records from the Austin Animal Center. the data comes from the City of Austin Open Data Portal. importing the packages import pandas as pd import …

February 18, 2020

life expectancy - data analysis

predicting life expectancy from country-level health and economic indicators. lots of feature engineering, then random forest, ridge, and k-NN pipelines compared head to head.

April 9, 2019

exploring deep learning approaches with f-mnist

trying out a few deep learning approaches to classify Fashion MNIST images. we’ll compare some neural network architectures and regularization tricks and see which model does best. import copy …

February 2, 2019

overseer - a take on surveillance

project overseer is a small robotic art piece inspired by George Orwell and his novel 1984. the idea was to build something that literally watches back, to make the abstract threat of surveillance a …

July 18, 2018