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BIFOLD & TU Berlin

Stefan Grafberger

I am a Ph.D. student at BIFOLD & TU Berlin, conducting research at the intersection of data management and machine learning.

GitHub @SGrafberger Website

Followers

55

Public repos

26

Stars (recent)

100

Ecosystems

1

Projects

Repositories this builder owns.

deem-workshop.github.io

No description.

No description.

No description.

Jenga is an experimentation library that allows data science practititioners and researchers to study the effect of common data corruptions (e.g., missing values, broken character encodings) on the prediction quality of their ML models.

Connected narratives

AI Agents Consumer Crypto SocialFi Stablecoins Agent Commerce Onchain Apps

Related builders

Others building in the same ecosystem.

shadow-pipeline-experiments

No description.

Inspect ML Pipelines in Python in the form of a DAG

🔎 Finds fuzzy matches between CSV spreadsheets

StreamDQ is a library built on top of Apache Flink for defining "unit tests for data", which measure data quality in large data streams.

Recent activity

Most recently pushed work.

stefan-grafberger/deem-workshop.github.io
pushed 4mo ago
stefan-grafberger/mlidea-demo
pushed 9mo ago
stefan-grafberger/mlidea
pushed 10mo ago
stefan-grafberger/jenga
pushed 27mo ago