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Bernd Malle's Projects

akhci-2017 icon akhci-2017

Sample data for the student groups of the AK-HCI 2017 course on interactive ML for anonymization

akhci-2020 icon akhci-2020

Project for graph enrichment via embeddings / getting signals (attention) into embeddings

api-bench icon api-bench

Benchmarks for (Micro) API-Service libraries in different languages / frameworks

feathers-vuex icon feathers-vuex

Integration of FeathersJS, Vue, and Nuxt for the artisan developer

framework-notes icon framework-notes

Notes on different JS frameworks (inspired by & probably heavily relying on Ryan Carniato's streams)

gbml-vienna-2021 icon gbml-vienna-2021

Student assignments in graph-based ML / graph representation learning for TUW WS20/21

go-pg-benchmarks icon go-pg-benchmarks

Benchmarks on different combinations of Golang web-frameworks/libraries + Postgres drivers/orms

google-fra-proposal-2016-nlp icon google-fra-proposal-2016-nlp

Proposal for a google faculty research award in the field for NLP / WordVec / Glove and it's application to snippet learning w/ context

gorn icon gorn

graph-orm for ArangoDB, using Typescript mixins & decorators

grazjs-react icon grazjs-react

Lemontiger main client for Web building on react + components and the feathers JS client

iml-anonymization-data icon iml-anonymization-data

Code to download all the weight vectors accumulated in our iML anonymization experiments & output correlating anonymized datasets

iml-anonymization-paper icon iml-anonymization-paper

Paper on Privacy aware interactive Machine Learning for anonymization and its effects on Classifier / predictor performance

jsplumb-demo icon jsplumb-demo

some brief examples of how to use jsplumb - maybe usable in conjunction with Rubaxa Sortable...

ml-experiments icon ml-experiments

Just a lot of ML / DL / experiments, tutorials and own implementations

ml_notation icon ml_notation

Template for mathematical notation for Machine Learning papers

mlhi-ass2-anonymization icon mlhi-ass2-anonymization

Assignment 3 for the Machine Learning for Health Informatics course at TU Vienna - Anonymization using the SaNGreeA algorithm

paml-paper-1 icon paml-paper-1

Paper for a congress talk about privacy aware machine learning featuring an interactive ML implementation of the SaNGreeA algorithm

paml-paper-2 icon paml-paper-2

PAML on multi-class classification & prediction, also including a neural network classifier (and outlier elimination)

phd-presentations icon phd-presentations

Mostly PowerPoints and Notes for my PhD @ TUGraz plus auxiliary projects with Bachelor & Master students

right-to-forget-data icon right-to-forget-data

Experiments to examine the ramifications of deleting / anonymizing data on the performance of a ML classifier

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