Kevin Mader (kmader)

kmader

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Location:Zurich, Switzerland

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Quantitative-Big-Imaging

Kevin Mader's repositories

Quantitative-Big-Imaging-2018

(Latest semester at https://github.com/kmader/Quantitative-Big-Imaging-2019) The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2018

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Quantitative-Big-Imaging-2019

The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2019

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face3d_binder

A clean fork of https://github.com/YadiraF/face3d (but without the history to allow for unit testing and things)

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easy_dash

A library for making Dash apps easier to build and particularly focusing on common data collection use cases

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face3d

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

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nbpolynote

Making a self-contained binder/repo2docker setup for polynote

qbi-2019-py

Just QBI as python code (no notebooks)

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tflite_micro

Getting TFLite Micro Up and Running

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albumentations

fast image augmentation library and easy to use wrapper around other libraries

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GraphNN_Intro

Some introductory material for GraphNN wrapped together

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keras_webrtc

Use a keras model in the browser using WebRTC

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label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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matplotlib

matplotlib: plotting with Python

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MNT_Lectures2019

Lecture note for the image processing part of the MNT course

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Mumm3d_BigDataQuantification

The material for the Big Data and 3D analysis presentation for the Mummering workshop on the analysis of large 3D/4D datasets.

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nCov2019

query stats of infected coronavirus cases

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numpy

The fundamental package for scientific computing with Python.

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PlotNeuralNet

Latex code for making neural networks diagrams

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polynote

A better notebook for Scala (and more)

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scipy

Scipy library main repository

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spark-ij

Library to use ImageJ and associated plugins inside of Spark for distributed computing

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spark-imageio

A Spark library for reading in images using the java-based ImageIO and loading images as tiles instead of entire datasets

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spark-notebook

Use Apache Spark straight from the Browser

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spektral

Graph Neural Networks with Keras and Tensorflow.

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tfjs-mobilenet-webcam

Running a skin condition detecting algorithm in the browser using TFJS

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TIPL

Tomcat Image Processing Language using Jython and Spark for distributed image analysis of tomography datasets

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spark-scifio

A Spark-interface for the io.scif and other libraries to take advantage of the ImageJ2 ecosystem.

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