schelterlabs / jengaLinks
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.
☆41Updated 2 years ago
Alternatives and similar repositories for jenga
Users that are interested in jenga are comparing it to the libraries listed below
Sorting:
- Inspect ML Pipelines in Python in the form of a DAG☆70Updated last year
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆105Updated last year
- A Benchmark for Joint Data Cleaning and Machine Learning☆49Updated last year
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆220Updated 2 years ago
- A library of Reversible Data Transforms☆127Updated this week
- Metrics to evaluate quality and efficacy of synthetic datasets.☆246Updated this week
- Benchmarking synthetic data generation methods.☆277Updated this week
- ☆22Updated last year
- openclean - Data Cleaning and data profiling library for Python☆80Updated 3 years ago
- automatic data slicing☆34Updated 3 years ago
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆156Updated 2 years ago
- Clustering for mixed-type data☆99Updated last year
- Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.☆42Updated 2 years ago
- ☆32Updated 3 years ago
- Editing machine learning models to reflect human knowledge and values☆127Updated last year
- Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning☆51Updated 2 years ago
- A Tree Search Library for Data Cleaning☆22Updated 3 years ago
- SPEAR: Programmatically label and build training data quickly.☆108Updated last year
- Distribution transparent Machine Learning experiments on Apache Spark☆91Updated last year
- Spark implementation of computing Shapley Values using monte-carlo approximation☆76Updated 2 years ago
- Measuring data importance over ML pipelines using the Shapley value.☆43Updated 3 months ago
- ☆104Updated 11 months ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆105Updated last month
- A novel approach for synthesizing tabular data using pretrained large language models☆321Updated 2 months ago
- The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.☆130Updated last year
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- this repo might get accepted☆28Updated 4 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆470Updated 2 years ago
- Repository for my master thesis on automated string handling☆16Updated 4 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago