gdikov

hypertunity

A toolset for black-box hyperparameter optimisation.

hybrid-stereo-matching

Framework for event- and frame-based stereo matching using SNNs and MRFs

adversarial-variational-bayes

A Keras/TensorFlow-based implementation of Adversarial Variational Bayes by L. Mescheder et al.

bayesian-architecture-learning

Implementation of "Bayesian Learning of Neural Network Architectures"

calibrated-adversarial-learning

Reproducing the toy example in "Calibrated Adversarial Refinement for Multimodal Semantic Segmentation" by Kassapis et al.

protein-function-prediction

stochastic-segmentation-networks

Tutorial reimplementation of Monteiro et al. (2020) on a toy problem.

gdikov.github.io

About me

MiniML

Minimalistic implementations of several ML algorithms like NNs, SOMs, vector quantization and Hopfield nets

MNIST-challenge

The MNIST dataset tackled by several machine learning models coded from scratch

SpikingStereoMatching

SpiNNaker implementation of a spiking stereo matching neural network

briandais-hybrid-tries

implementation of the Briandais and the hybrid lexical tries and some of their functions

I2C-Controller

I2C on TI MSP4300 for Jolla breakout board

SolarSim_EI

Simple photovoltaic cell simulator in python. Estimates power output from irradiance and temperature data assuming an MPP tracker.

vae-playground

Experiments with Variational Autoencoders

WordChains

BFS for word syzygies (2-letter prefixes and suffixes connected)