sebastian-lapuschkin Goto Github PK
Name: Sebastian Lapuschkin
Type: User
Company: Fraunhofer Heinrich-Hertz-Institute
Bio: Head of XAI Group at Fraunhofer HHI
Location: Einsteinufer 37, 10587 Berlin
Name: Sebastian Lapuschkin
Type: User
Company: Fraunhofer Heinrich-Hertz-Institute
Bio: Head of XAI Group at Fraunhofer HHI
Location: Einsteinufer 37, 10587 Berlin
Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis"
A small automation tool for fine-grained google scholar stat tracking.
Explaining the unique nature of individual gait patterns with deep learning
Julia programming for Machine Learning course at TU Berlin
The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.
Linux Desktop Application for the Logitech Spotlight device (and similar devices) - Digital Laser Pointer
Quantus is a comprehensive toolbox for responsible evaluation of neural network explanations
Understanding and Comparing Deep Neural Networksfor Age and Gender Classification - Data and Models
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
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.