Ludwig Schmidt-Hackenberg's repositories

Minimal-Bag-of-Visual-Words-Image-Classifier

Implementation of a content based image classifier using the bag of visual words approach in Python together with Lowe's SIFT and Libsvm.

phow_caltech101.py

Simple working example script for content based image classification using the bag of visual words approach

Image-Moments-in-Python

This script implements a function that calculates the raw, centered and normalized moments similar to OpenCV for any image passed as a numpy array.

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cukmeans.py

Implementation of the kmeans algorithm using pycuda

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text2led.py

Python script to control led display boards or 'led ticker' via serial or usb connection.

collabgraph

This simple tool helps researchers and students to visualize who is collaborating with whom in their field of research.

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SimpleCV

The Open Source Framework for Machine Vision

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flann

Fast Library for Approximate Nearest Neighbors

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keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

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mendeley-oapi-example

Example Python client for Mendeley's Open API

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open-images-dataset

Open Images is a dataset of ~9 million images that have been annotated with image-level labels and bounding boxes spanning thousands of classes.

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barrista

The best way to get your caffe served!

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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.

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celery

Distributed Task Queue (development branch)

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DataScienceRetreatBerlinDeepLearning

Notes and codes for the Deep Learning tutorial at the DataScienceRetreat Berlin

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deep-learning-scene-recognition

Using convolutional deep belief nets to learn natural scene representations

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fastbook

The fastai book, published as Jupyter Notebooks

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flask-uberspace-quickstart

Blogpost für dieses Projekt

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gevent-sqlalchemy

Code for the gevent sqlalchemy blog post

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ipywidgets

IPython widgets for the Jupyter Notebook

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isce2-docs

Documents and tutorials for isce2

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neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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pbar.py

super minimal progress bar for Python

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pyspotify

Python bindings for libspotify

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python-vlfeatures

Python wrapper for vlfeat image-analysis package, forked from https://launchpad.net/pyvlfeat

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Theano

Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python

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