Beast code in Giters

Thomas Astad Sve's repositories

Code for master thesis on Zero-Shot Learning in multi-label scenarios

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A school project where a similar architecture to the alexnet is implemented in Theano and tested a smaller version of the imagenet database

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Project 4 in the Self-Driving Car Nanodegree: Advanced Lane Lines

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Project 3 in the Self-Driving Car Nanodegree: Train a deep neural network to clone driving behavior

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Detecting lane lines using computer vision techniques

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Project 2 in the Self-Driving Car Nanodegree: Building a convolutional neural network to classify traffic signs

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Project 5 in the Self-Driving Nanodegree at Udacity. Detecting and tracking vehicles.

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The Open Images dataset

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juCi++: a lightweight, cross-platform C++-IDE supporting C++11, C++14, and experimental C++17 features

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Train faster rcnn on imagine dataset, related blog post: http://andrewliao11.github.io/object_detection/faster_rcnn/

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Projects for the term 1 of the Udacity Self-Driving Car Nanodegree

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Smart-kø-system versjon 2 laget som gruppeprosjekt ved Høgskolen i Sør-Trøndelag

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Project at UCSD comparing different machine learning classifiers on three different dataset

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