hpi-sam Goto Github PK
Name: HPI System Analysis and Modeling Group
Type: Organization
Location: Potsdam, Germany
Blog: http://hpi.de/giese/
Name: HPI System Analysis and Modeling Group
Type: Organization
Location: Potsdam, Germany
Blog: http://hpi.de/giese/
Materials from the course Adversarial Self-Supervised Learning with Digital Twins
Prototypes, Tutorials, Speifications for Engineering Ethical AI Systems
This service provides an api to store artefacts with their related meta-data and tags and performs machine learning on them
NodeJS API for handling voice query fulfilment with Dialogflow.
Docker Deployment of Ask-Your-Repository
React Web Application for visualising and managing image data. Main user interface of the Ask You Repository project.
Multi-Armed bandits models for online learning of self-repair actions
Bachelor Project Documentation
Causal-Based Knowledge Transfer in Safe Reinforcement Learning
Novel cross-snapshot attention method that leverages the unique features of propagations originating from specific nodes over time. The novelty lies in the element-wise attention weight calculations across consecutive snapshots, linking changes in propagation states to local network regions.
A German simulation system for training emergency medical services leadership personnel on how to manage Mass Casualty Incidents.
Public test scenarios for the Digital Fuesim MANV project.
Ethical concerns and solutions for engineering recommender systems
Evaluation artifacts for extended Generalized Discrimination Networks
Exploration of Graph Neural Network techniques for representation, prediction, and intervention on networks of comments on news sites.
Repo fro Bastian, Leo and Berkay project
Exploration of Graph Neural Networks techniques for Connectomics
Lecture Materials
Materials of the Graph Neural Networks course taught in Winter Semester 2021 at the Hasso-Plattner Institute University of Potsdam
Investigate different methods for link prediction and their effectiveness for the polypharmacy problem.
Exploration of Graph Neural Network techniques to represent, predict, and intervene on Entity Linking tasks.
Graph Neural Networks for Knowledge-Graph Systesm
Exploration of Graph Neural Networks for representation, prediction, and intervention in NLP tasks
Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasets
Graph Neural Networks for Graph Query Matching Tasks
Repository containing evaluation artifacts for host-graph-sensitive RETE nets.
Hypotheses tests for within and between group experiments
Implementation and evaluation artifacts for the article "Incremental Model Transformations with Triple Graph Grammars for Multi-version Models and Multi-version Pattern Matching"
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.