- Amsterdam
- https://gdikov.me
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Implementation of "Bayesian Learning of Neural Network Architectures"
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Reproducing the toy example in "Calibrated Adversarial Refinement for Multimodal Semantic Segmentation" by Kassapis et al.
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Tutorial reimplementation of Monteiro et al. (2020) on a toy problem.
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hypertunity Public
A toolset for black-box hyperparameter optimisation.
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hybrid-stereo-matching Public
Framework for event- and frame-based stereo matching using SNNs and MRFs
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vae-playground Public
Experiments with Variational Autoencoders
Python MIT License UpdatedAug 12, 2017 -
SpikingStereoMatching Public
SpiNNaker implementation of a spiking stereo matching neural network
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A Keras/TensorFlow-based implementation of Adversarial Variational Bayes by L. Mescheder et al.
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MNIST-challenge Public
The MNIST dataset tackled by several machine learning models coded from scratch
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WordChains Public
BFS for word syzygies (2-letter prefixes and suffixes connected)
Java UpdatedMar 15, 2016 -
MiniML Public
Minimalistic implementations of several ML algorithms like NNs, SOMs, vector quantization and Hopfield nets
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SolarSim_EI Public
Simple photovoltaic cell simulator in python. Estimates power output from irradiance and temperature data assuming an MPP tracker.
Python UpdatedAug 1, 2015 -
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briandais-hybrid-tries Public
implementation of the Briandais and the hybrid lexical tries and some of their functions