Alternatives and similar repositories for unmasking-trees

Users that are interested in unmasking-trees are comparing it to the libraries listed below

• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆162Updated last year
• blei-lab / treeffuser
  Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …
  ☆49Updated last month
• microsoft / ticl
  Tabular In-Context Learning
  ☆87Updated 5 months ago
• EtashGuha / R2CCP
  ☆22Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆74Updated last year
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆93Updated 2 months ago
• autogluon / tabrepo
  A Living Benchmark for Machine Learning on Tabular Data
  ☆114Updated last week
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆77Updated 2 months ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆163Updated this week
• ersilia-os / chempfn
  Ensemble-based, size-agnostic wrapper for the TabPFN classifier
  ☆33Updated last year
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆143Updated 2 weeks ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• FelixdenBreejen / TabForestPFN
  ☆49Updated last year
• penfever / TuneTables
  TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
  ☆21Updated 4 months ago
• layer6ai-labs / TabDPT-inference
  Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"
  ☆55Updated this week
• pharmbio / plot_utils
  Repo that groups utility functions for e.g. plotting of Conformal prediction metrics
  ☆16Updated last year
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆86Updated 2 years ago
• bips-hb / arfpy
  Python implementation of adversarial random forests for density estimation and generative modelling
  ☆31Updated last year
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆79Updated 3 months ago
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆24Updated 2 years ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆48Updated 3 years ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• team-daniel / MC-CP
  All the material needed to use MC-CP and the Adaptive MC Dropout method
  ☆24Updated 3 months ago
• yandex-research / GBDT-uncertainty
  ☆57Updated last year
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆114Updated 3 months ago
• ottenbreit-data-science / aplr
  APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals t…
  ☆21Updated 3 weeks ago
• salimamoukou / ACPI
  Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…
  ☆29Updated 2 years ago