Alternatives and similar repositories for SURE

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

• vanderschaarlab / synthcity
  A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
  ☆594Updated 3 months ago
• mmschlk / shapiq
  Shapley Interactions and Shapley Values for Machine Learning
  ☆612Updated last week
• Clearbox-AI / clearbox-synthetic-kit
  Clearbox AI's all-in-one solution for generation and evaluation of synthetic tabular and time-series data.
  ☆44Updated last week
• scikit-learn-contrib / qolmat
  A scikit-learn-compatible module for comparing imputation methods.
  ☆139Updated 3 weeks ago
• probabl-ai / skore
  𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation re…
  ☆526Updated this week
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆390Updated last year
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,460Updated this week
• skrub-data / skrub
  Machine learning with dataframes
  ☆1,456Updated this week
• sdv-dev / SDMetrics
  Metrics to evaluate quality and efficacy of synthetic datasets.
  ☆246Updated last week
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆229Updated last week
• fraunhoferportugal / pymdma
  pymdma
  ☆52Updated 2 weeks ago
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆518Updated 2 months ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,496Updated 3 weeks ago
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆607Updated 10 months ago
• Vicomtech / STDG-evaluation-metrics
  Standardised Metrics and Methods for Synthetic Tabular Data Evaluation
  ☆33Updated last year
• sdv-dev / SDGym
  Benchmarking synthetic data generation methods.
  ☆279Updated last week
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆276Updated last week
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆92Updated last month
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,446Updated 2 months ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆41Updated last year
• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆729Updated 4 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆633Updated last year
• sdv-dev / CTGAN
  Conditional GAN for generating synthetic tabular data.
  ☆1,455Updated last week
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆142Updated last month
• ubc-systopia / gosdt-guesses
  Generalized Optimal Sparse Decision Trees
  ☆56Updated 4 months ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆279Updated 2 years ago
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆346Updated 3 months ago
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆92Updated 2 months ago
• tabularis-ai / be_great
  A novel approach for synthesizing tabular data using pretrained large language models
  ☆321Updated 2 months ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆127Updated last year