weaslbe
Full-Stack Software Engineer/Data Scientist with MSc & Bsc Degree in IT-Systems Engineering from Hasso-Plattner-Institute. Focus: Digital Health, AI, wearables
Berlin
Pinned Repositories
very-bad
ssEMnet
autoencoder-image-registration by HPI students
DeepADoTS
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
OSIMAB-public
android-XYZTouristAttractions
contoso-chat
This sample has the full End2End process of creating RAG application with Prompt Flow and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
evaluate-human-balance-with-apache-spark-and-spark-streaming
This project is part of the Data Streaming Nanodegree Program on Udacity. It is about Apache Spark and Apache Kafka, Redis and the Kafka ecosystem to build a stream processing application that shows a real-time fall risk graph of study participants of a human balance while walking study.
image-cap
Repository for the team challenge of image captioning in the lecture Competitive Problem Solving with Deep Learning
public-transit-status-with-apache-kafka
This project is part of the Data Streaming Nanodegree Program on [Udacity](https://www.udacity.com/enrollment/nd029). It is about using REST Proxy, Kafka Connect, KSQL and Faust Python Stream Processing to stream public transit statuses using Kafka and the Kafka ecosystem to build a stream processing application that shows real-time train statuses.
weaslbe's Repositories
weaslbe/image-cap
Repository for the team challenge of image captioning in the lecture Competitive Problem Solving with Deep Learning
weaslbe/android-XYZTouristAttractions
weaslbe/contoso-chat
This sample has the full End2End process of creating RAG application with Prompt Flow and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
weaslbe/evaluate-human-balance-with-apache-spark-and-spark-streaming
This project is part of the Data Streaming Nanodegree Program on Udacity. It is about Apache Spark and Apache Kafka, Redis and the Kafka ecosystem to build a stream processing application that shows a real-time fall risk graph of study participants of a human balance while walking study.
weaslbe/public-transit-status-with-apache-kafka
This project is part of the Data Streaming Nanodegree Program on [Udacity](https://www.udacity.com/enrollment/nd029). It is about using REST Proxy, Kafka Connect, KSQL and Faust Python Stream Processing to stream public transit statuses using Kafka and the Kafka ecosystem to build a stream processing application that shows real-time train statuses.