Discover schelterlabs/jenga Open Source project by @schelterlabs

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Rank 752,081 (Top 16 %)
Language
Jupyter Notebook
License
GNU General Publi...
Created over 4 years ago
Updated about 1 year ago

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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.

deml-lab

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

Jupyter Notebook

arguseyes

Python

hedgecut

Rust

uva-bigdata-course-2021-students

Java

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"

Rust

big-data-course-2022-assignments

Jupyter Notebook

open-end-to-end-ml

Python

learning-to-validate-predictions

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

Python

rust-minhash

Rust

schelterlabs.github.io

Public resources for teaching, etc.

snapcase

Rust

big-data-course-2022-projects

bd22-docker-setup

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

Dockerfile

schelterlabs/jenga

schelterlabs

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