Alternatives and similar repositories for CPClean:

Users that are interested in CPClean are comparing it to the libraries listed below

• schelterlabs / jenga
  Jenga is an experimentation library that allows data science practititioners and researchers to study the effect of common data corruptio…
  ☆37Updated last year
• stanford-futuredata / omg
  ☆21Updated last year
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆102Updated 9 months ago
• stefan-grafberger / mlinspect
  Inspect ML Pipelines in Python in the form of a DAG
  ☆70Updated 10 months ago
• hadijomaa / dataset2vec
  ☆32Updated 3 years ago
• chu-data-lab / CleanML
  A Benchmark for Joint Data Cleaning and Machine Learning
  ☆45Updated 7 months ago
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆31Updated 3 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆40Updated 2 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• LaureBerti / Learn2Clean
  Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning
  ☆50Updated 2 years ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆60Updated last year
• DPBayes / twinify
  A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
  ☆50Updated 4 months ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆42Updated 5 months ago
• yeounoh / slicefinder
  automatic data slicing
  ☆35Updated 3 years ago
• uwdb / DeepEverest
  DeepEverest: a system for efficient DNN interpretation.
  ☆13Updated 11 months ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆46Updated 8 months ago
• scikit-multiflow / streaming-datasets
  A collection of data sets for stream learning.
  ☆31Updated 4 years ago
• layer6ai-labs / TabDPT
  TabDPT: Scaling Tabular Foundation Models
  ☆21Updated this week
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆28Updated 6 years ago
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆33Updated this week
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆26Updated 7 months ago
• realityengines / post_hoc_debiasing
  ☆17Updated 4 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆29Updated 3 years ago
• easeml / datascope
  Measuring data importance over ML pipelines using the Shapley value.
  ☆37Updated 2 months ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated 8 months ago
• zelros / cinnamon
  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
• data-centric-ai / dcbench
  A benchmark of data-centric tasks from across the machine learning lifecycle.
  ☆72Updated 2 years ago
• alan-turing-institute / QUIPP-pipeline
  Privacy preserving synthetic data generation workflows
  ☆20Updated 2 years ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆52Updated 3 weeks ago
• divyat09 / cf-feasibility
  Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"
  ☆30Updated last year