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Name: Michael Beyeler
Type: User
Company: University of California, Santa Barbara
Bio: Assistant Professor at UC Santa Barbara. PI of @bionicvisionlab
Location: Santa Barbara, CA
Name: Michael Beyeler
Type: User
Company: University of California, Santa Barbara
Bio: Assistant Professor at UC Santa Barbara. PI of @bionicvisionlab
Location: Santa Barbara, CA
Neurohackademy 2018: Image processing and computer vision with scikit-image
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)
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
Cortical neural network models of visual motion perception for decision-making and reactive navigation.
Cowrie SSH/Telnet Honeypot http://cowrie.readthedocs.io
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Diffusion MR imaging in Python
The website designer for Hugo. Build and deploy a beautiful website in minutes :rocket:
Deep learning based, intraretinal fluid segmenter for macular OCTs
Progress bar for python
CUDA implementation of the Motion Energy model (Simoncelli & Heeger, 1998)
eScience/UWIN working group in neuroinformatics
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
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.
The friendly PIL fork (Python Imaging Library)
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Models for retinal prosthetics
Introduction to Python for non-programmers using gapminder data
Image Processing SciKit (Toolbox for SciPy)
scikit-learn: machine learning in Python
Links and notes for SciPy 2017
Tools used to generate the SciPy conference proceedings
Slate is a Jekyll theme for GitHub Pages
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.