Alternatives and similar repositories for TabularBenchmarks

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

• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• arnabbiswas1 / kaggle_pipeline_tps_aug_22
  Kaggle Pipeline for tabular data competitions
  ☆205Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated 2 years ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 3 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆71Updated last week
• ml-jku / hopular
  Hopular: Modern Hopfield Networks for Tabular Data
  ☆313Updated 3 years ago
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆549Updated 3 months ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆106Updated 3 weeks ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆550Updated 2 years ago
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆143Updated 3 years ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆251Updated last week
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆366Updated last month
• smazzanti / are_you_still_using_elbow_method
  ☆150Updated 2 months ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 3 years ago
• facebookresearch / balance
  The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…
  ☆733Updated this week
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆42Updated 2 years ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆227Updated last year
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆62Updated last year
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆128Updated 2 years ago
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆217Updated last year
• sergeyf / SmallDataBenchmarks
  Small Dataset Benchmarks on the Dataset of Datasets UCI++
  ☆93Updated 3 years ago
• MathiasKraus / igann
  ☆45Updated 3 months ago
• ARM-software / mango
  Parallel Hyperparameter Tuning in Python
  ☆416Updated 10 months ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 3 months ago
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆244Updated last month
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆176Updated 2 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year