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aoe_td

AoE_TD

aoe_td2

bc18-scaffold

landmark-recognition

The challenge is to train a model on a large dataset provided by google depicting landmarks. The original dataset contains 30 000 unique landmarks (classes) and over 2 000 000 training examples of these landmarks. The goal of the challenge is to get the highest prediction rate after training a model. In order to scale the problem down to a realistic size, we will use a subset of the data to train our model. Our approach will be to train a deep convolutional neural network in pytorch.

legionnaires

Project IT

ssk

Implementation of a string subsequence kernel, used to classify text.

wavplayer

Music player built with my friend Alexander Krantz - Written in C and mips, run on a PIC32MX320F128H