Alternatives and similar repositories for python

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

• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆46Updated 3 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆87Updated 2 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆278Updated this week
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆195Updated 2 years ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆169Updated last year
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated 2 years ago
• EtashGuha / R2CCP
  ☆22Updated last year
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• iancovert / fastshap
  An amortized approach for calculating local Shapley value explanations
  ☆102Updated last year
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆147Updated 3 years ago
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆109Updated 3 years ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆199Updated 8 months ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆288Updated 3 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆71Updated 4 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆56Updated last year
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆82Updated 4 months ago
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆153Updated 2 months ago
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆65Updated last year
• flemmerich / pysubgroup
  ☆69Updated 11 months ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆174Updated last year
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆66Updated 2 weeks ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆202Updated 2 months ago
• yandex-research / GBDT-uncertainty
  ☆58Updated last year
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆33Updated 2 years ago
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆176Updated last year