Alternatives and similar repositories for GradTree

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

• atschalz / dc_tabeval
  A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
  ☆16Updated last year
• microsoft / ticl
  Tabular In-Context Learning
  ☆102Updated 10 months ago
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆126Updated 3 months ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆268Updated last month
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆84Updated 7 months ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆176Updated last year
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆245Updated last year
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆98Updated 3 weeks ago
• autogluon / tabarena
  A Living Benchmark for Machine Learning on Tabular Data
  ☆168Updated this week
• ml-stat-Sustech / TorchCP
  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
  ☆439Updated 2 months ago
• automl / TFM-Playground
  A Playground for Tabular Foundation Models
  ☆45Updated last week
• s-marton / GradientBasedDecisionTrees
  [AAAI 24] GradTree: Gradient-Based Axis-Aligned Decision Trees
  ☆15Updated last year
• penfever / TuneTables
  TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
  ☆22Updated 9 months ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆93Updated last month
• yromano / cqr
  Conformalized Quantile Regression
  ☆298Updated 3 years ago
• fzi-forschungszentrum-informatik / TSInterpret
  An Open-Source Library for the interpretability of time series classifiers
  ☆145Updated last month
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆37Updated 3 months ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆110Updated 3 weeks ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆174Updated last year
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆161Updated 4 months ago
• mirkobunse / critdd
  Critical difference diagrams with Python and Tikz
  ☆36Updated last year
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆47Updated 3 years ago
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆151Updated 3 weeks ago
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆68Updated 3 years ago
• vdblm / CausalPFN
  CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
  ☆85Updated last month
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆74Updated 2 years ago
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆130Updated 2 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆69Updated 10 months ago
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆78Updated last week
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆72Updated 4 years ago