Alternatives and similar repositories for Nested-Cross-Validation

Users that are interested in Nested-Cross-Validation are comparing it to the libraries listed below

• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated 2 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆227Updated 4 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆247Updated last year
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆341Updated last year
• danilkolikov / fsfc
  Feature Selection for Clustering
  ☆96Updated 7 years ago
• christopherjenness / DBCV
  Python implementation of Density-Based Clustering Validation
  ☆175Updated last year
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆421Updated 2 years ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆57Updated 4 years ago
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆323Updated last year
• lmassaron / deep-learning-for-tabular-data
  An updated (2025) guide to Deep Learning for tabular data, comparing a fine-tuned Keras 3 (PyTorch backend) DNN and an Optuna-optimized…
  ☆47Updated 2 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated last month
• lucazav / binclass-tools
  The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …
  ☆73Updated 2 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 7 months ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 2 months ago
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆85Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆64Updated last year
• fbrundu / pymrmr
  Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
  ☆141Updated 11 months ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆167Updated 3 weeks ago
• erdogant / clusteval
  Clusteval provides methods for unsupervised cluster validation
  ☆64Updated 6 months ago
• ctlab / ITMO_FS
  Feature selection library in python
  ☆147Updated 3 months ago
• DanilZherebtsov / verstack
  ☆102Updated last month
• square / pysurvival
  Open source package for Survival Analysis modeling
  ☆366Updated last year
• wwwjk366 / gower
  Python package for Gower distance
  ☆80Updated last year
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆201Updated last year
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆65Updated 8 months ago