psteinb/adversarial-medical-imaging-test-code

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psteinb/adversarial-medical-imaging-test-code

psteinb

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slidedeck and resources for my talk on adversarial examples in medical imaging

hpc-in-a-day

a full day lesson material to teach the basics of using a HPC cluster to novices

b3get

a python module to download Broad Bioimage Benchmark Collection images

compass

drop-in header-only C++ library to detect hardware capabilities at runtime and at compiletime

meetingcpp2015

repository for slides and code examples for my MeetingCpp talk in 2015

deeprace

benchmark suite to measure the turnaround of deep learning frameworks

libav-h26x-sandbox

sandbox code to try h264 and h265 encoding/decoding with ffmpeg

sota_on_uncertainties

trying to obtain uncertainties from training accuracies using timm

covid19-curve-your-city

Extrapolation der COVID19 Fallzahlen

libmultiviewnative

Native Implementation (CPU & GPU) of the Iterative Bayesian Deconvolution Algorithm in the Fiji Multi-View Deconvolution Plugin by Stephan Preibisch

cpp_performance_vs_design

Open-source workshop material for 2 half-day tutorials on performant design of c++ libraries and programs

c2st

Jupyter Notebook

x264

citizenscience-climatechange-saxony

repo to version control my tries to vizualize the clime change in Saxony (Germany) since 1961

Cpp-from-Python

slides for my C++ from Python talk at C++ UG Dresden, June 12, 2018

20220308-dlr-pytorchintro

code for the pytorch intro

iozone2csv

converter from iozone stdout to csv

pain-of-performance-portability

presentation slides of my compression and the pain of performance portability

TBBIntro

A pragmatic introduction to the C++ Open Source Library "Intel Threading Building Blocks"

mlc-reproducing-adversarial-medicine

Slidedeck for my talk on reproducing the paper "Adversarial Attacks Against Medical Deep Learning Systems"

gpu-lecture-task-parallelism

Lecture given at TU Dresden on task parallelism with (Nvidia) GPUs

ZbFitter

Template Fit Package to perform an extended likelihood fit on binned data for n template distributions

deeplearning-at-iktp2018

slidedeck for my presentation at the institute for nuclear and particle physics at TU Dresden, October 2018

Jupyter Notebook