Alternatives and similar repositories for shap

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

• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆26Updated 8 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated 6 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 5 years ago
• canturan10 / image.classification.on.EuroSAT
  Image Classification on EuroSAT
  ☆13Updated 3 years ago
• JonasImazon / Road_detection_model
  ☆25Updated 3 years ago
• felixriese / susi
  SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
  ☆114Updated 9 months ago
• pjaselin / Cubist
  A Python package for fitting Quinlan's Cubist regression model
  ☆51Updated last week
• FlorentF9 / skstab
  Clustering stability analysis in Python with a scikit-learn compatible API.
  ☆21Updated 2 years ago
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆24Updated 2 years ago
• YR234 / TL-for-TSC
  ☆13Updated 2 years ago
• geflaspohler / poold
  Python library for Optimistic Online Learning under Delay
  ☆13Updated 3 years ago
• Stream-AD / ExGAN
  Adversarial Generation of Extreme Samples
  ☆78Updated last year
• dunnkers / fseval
  Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
  ☆19Updated 2 years ago
• mollenhauerm / keras-temporal-autoencoder
  Keras framework for autocovariance-based dimensionality reduction of time series data with deep neural networks.
  ☆32Updated 7 years ago
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆85Updated 2 weeks ago
• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated last year
• JesperDramsch / ml.recipes
  Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…
  ☆75Updated last month
• UBC-MDS / RegscorePy
  This is the repo for a python package that does model comparison between different regression models.
  ☆22Updated 7 years ago
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆55Updated 10 months ago
• justinalsing / dlmmc
  Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.
  ☆25Updated 5 years ago
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆27Updated 5 years ago
• guillermo-navas-palencia / ropwr
  Robust piecewise regression
  ☆12Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago
• LukasMosser / neural_rock_typing
  Can machines help us understand how to distinguish rock types?
  ☆22Updated 3 years ago
• salarghaffarian / Train-Test-Validation-Dataset-Generation
  This repository contains the files for running the Patchify GUI.
  ☆11Updated 4 years ago
• joshloyal / RotationForest
  Implementation of the Rotation Forest by Rodriques et al. 2006
  ☆28Updated last year
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆27Updated 5 years ago
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated 11 months ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated last month