Michael Beyeler's repositories
opencv-machine-learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
opencv-python-blueprints
M. Beyeler (2015). OpenCV with Python Blueprints: Design and develop advanced computer vision projects using OpenCV with Python, Packt Publishing Ltd., ISBN 978-178528269-0.
2018-neurohack-skimage
Neurohackademy 2018: Image processing and computer vision with scikit-image
2019-nonnegative-sparse-coding
M Beyeler*, EL Rounds*, KD Carlson, N Dutt, JL Krichmar (2019). Neural correlates of sparse coding and dimensionality reduction. PLOS Computational Biology 15(6): e1006908. (*equal contribution)
scipy_2017_notes
Links and notes for SciPy 2017
hugo-academic
The website designer for Hugo. Build and deploy a beautiful website in minutes :rocket:
cortical-models-visual-motion-perception
Cortical neural network models of visual motion perception for decision-making and reactive navigation.
irf-segmenter
Deep learning based, intraretinal fluid segmenter for macular OCTs
MotionEnergy
CUDA implementation of the Motion Energy model (Simoncelli & Heeger, 1998)
neuroinformatics
eScience/UWIN working group in neuroinformatics
pulse2percept
Models for retinal prosthetics
python-novice-gapminder
Introduction to Python for non-programmers using gapminder data
scikit-image
Image Processing SciKit (Toolbox for SciPy)
scikit-learn
scikit-learn: machine learning in Python
scipy_proceedings
Tools used to generate the SciPy conference proceedings