Alternatives and similar repositories for realmlp-td-s_standalone

Users that are interested in realmlp-td-s_standalone are comparing it to the libraries listed below

• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆94Updated 4 months ago
• autogluon / tabarena
  A Living Benchmark for Machine Learning on Tabular Data
  ☆135Updated this week
• dmbeaglehole / xRFM
  xRFM: Accurate, scalable, and interpretable feature learning models for tabular data
  ☆28Updated this week
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆292Updated 2 weeks ago
• predict-idlab / crepes-weighted
  Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
  ☆22Updated 9 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆247Updated 3 weeks ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆94Updated this week
• ran-xie / boosted-conformal
  ☆41Updated 10 months ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆227Updated 2 months ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆120Updated 7 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated last month
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆172Updated last year
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆83Updated 5 months ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆51Updated this week
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆113Updated last month
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆32Updated last week
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆142Updated 7 months ago
• EtashGuha / R2CCP
  ☆22Updated last year
• xRiskLab / pearsonify
  Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…
  ☆22Updated 5 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆117Updated 6 months ago
• salimamoukou / ACPI
  Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…
  ☆30Updated 2 years ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 9 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆344Updated 3 months ago
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆24Updated 2 years ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆93Updated 8 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated last month