Alternatives and similar repositories for RDT

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

• sdv-dev / SDMetrics
  Metrics to evaluate quality and efficacy of synthetic datasets.
  ☆236Updated this week
• sdv-dev / SDGym
  Benchmarking synthetic data generation methods.
  ☆274Updated this week
• sdv-dev / DeepEcho
  Synthetic Data Generation for mixed-type, multivariate time series.
  ☆115Updated last month
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆88Updated last week
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆219Updated last week
• BCG-X-Official / sklearndf
  DataFrame support for scikit-learn.
  ☆63Updated last year
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆124Updated last year
• 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
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆70Updated 2 years ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆100Updated 2 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆164Updated 4 months ago
• sdv-dev / TGAN
  Generative adversarial training for generating synthetic tabular data.
  ☆290Updated 2 years ago
• MLBazaar / MLBlocks
  A library for composing end-to-end tunable machine learning pipelines.
  ☆116Updated 4 months ago
• decile-team / spear
  SPEAR: Programmatically label and build training data quickly.
  ☆106Updated 11 months ago
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆99Updated 8 months ago
• MLBazaar / MLPrimitives
  Primitives for machine learning and data science.
  ☆70Updated 6 months ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆165Updated 3 months ago
• worldbank / REaLTabFormer
  A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
  ☆228Updated this week
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆101Updated last week
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆68Updated 2 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆248Updated last year
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆146Updated last month
• joofio / awesome-data-synthesis
  A curated list of awesome resources for creating synthetic data
  ☆42Updated 3 years ago
• bytehub-ai / bytehub
  ByteHub: making feature stores simple
  ☆60Updated 4 years ago
• awslabs / amazon-denseclus
  Clustering for mixed-type data
  ☆99Updated 10 months ago
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆220Updated last year
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 4 years ago
• eli5-org / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆292Updated last month