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Philipp Krähenbühl's Projects

caffe icon caffe

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

carla_utils icon carla_utils

A list of utility functions for CARLA and beyond to allow for quicker prototyping.

cat_vs_dog icon cat_vs_dog

A simple network trained for cat vs dog classification. This should serve as an illustrative example on how to tune your deep network.

dash icon dash

Simple dash board to visualize research progress

geoloc icon geoloc

Fully convolutional geolocation

lpo icon lpo

Implementation of the CVPR 2015 paper: Learning to propose objects

pystk icon pystk

Python SuperTuxKart interface

visdom icon visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

voc-classification icon voc-classification

Train and evaluate VOC 2007 / 2012 image classification models. We used this code to evaluate several feature learning algorithms.

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