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…
  ☆40Updated last year
• chu-data-lab / CleanML
  A Benchmark for Joint Data Cleaning and Machine Learning
  ☆48Updated 11 months ago
• stefan-grafberger / mlinspect
  Inspect ML Pipelines in Python in the form of a DAG
  ☆70Updated 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…
  ☆104Updated last year
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆31Updated 3 years ago
• uwdb / DeepEverest
  DeepEverest: a system for efficient DNN interpretation.
  ☆12Updated last year
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆41Updated 2 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• ayong8 / FairSight
  A visual analytic system for fair data-driven decision making
  ☆25Updated 2 years ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated last year
• yeounoh / slicefinder
  automatic data slicing
  ☆34Updated 3 years ago
• realityengines / post_hoc_debiasing
  ☆17Updated 4 years ago
• sfu-db / BOExplain
  Explaining Inference Queries with Bayesian Optimization
  ☆10Updated 4 years ago
• dtak / rrr
  Code/figures in Right for the Right Reasons
  ☆55Updated 4 years ago
• data-centric-ai / dcbench
  A benchmark of data-centric tasks from across the machine learning lifecycle.
  ☆72Updated 3 years ago
• talwagner / fair_clustering
  ☆20Updated 6 years ago
• stanford-futuredata / omg
  ☆22Updated last year
• easeml / datascope
  Measuring data importance over ML pipelines using the Shapley value.
  ☆42Updated 3 weeks ago
• yoshavit / fairml-farm
  A collection of implementations of fair ML algorithms
  ☆12Updated 7 years ago
• alan-turing-institute / QUIPP-pipeline
  Privacy preserving synthetic data generation workflows
  ☆20Updated 3 years ago
• capitalone / global-attribution-mapping
  GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations
  ☆34Updated last month
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 2 years ago
• hadijomaa / dataset2vec
  ☆32Updated 3 years ago
• summerscope / mapping-fair-ml
  😇A curated list of links and resources for Fair ML and Data Ethics
  ☆18Updated 3 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 6 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆63Updated this week
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated last week
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 3 years ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆67Updated 11 months ago
• Yeye-He / Self-Service-Data-Preparation
  Project overview and links to various resources
  ☆19Updated 3 years ago