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@schelterlabs

schelterlabs

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88
Global Org. Rank 60,978 (Top 20 %)
Followers 7
Following 4
Registered over 5 years ago
Most used languages

Jupyter Notebook
30.8 %

Rust
30.8 %

Python
23.1 %

Dockerfile
7.7 %

Java
7.7 %
Location 🇺🇸 United States
Country Total Rank 50,835
Country Ranking

Jupyter Notebook
2,528

Rust
3,087

Dockerfile
5,351

jenga

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.

Jupyter Notebook

deml-lab

Lab tasks for the course on "Data Engineering for Machine Learning"

Jupyter Notebook

arguseyes

hedgecut

uva-bigdata-course-2021-students

retrieval_importance

Jupyter Notebook

projects-amnesia

Code and experiments for our CIDR paper on "A Selection of Machine Learning Models that Can Forget User Data Very Fast"

big-data-course-2022-assignments

Jupyter Notebook

open-end-to-end-ml

learning-to-validate-predictions

Code and experiments for our SIGMOD paper on "Learning to Validate the Predictions of Black Box Classifiers on Unseen Data"

rust-minhash

schelterlabs.github.io

Public resources for teaching, etc.

snapcase

big-data-course-2022-projects

bd22-docker-setup

Setup of the Jupyter Notebook environment including PySpark, Pandas and DuckDB for course Big Data 2022