Alternatives and similar repositories for SHAP_tutorial

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

• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆26Updated 5 years ago
• joshloyal / RotationForest
  Implementation of the Rotation Forest by Rodriques et al. 2006
  ☆28Updated last year
• HMProenca / RuleList
  ☆15Updated 4 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• alianoroozi / Cost-Sensitive-Learning-By-Genetic
  A python implementation of a genetic algorithm based approach for cost sensitive learning
  ☆8Updated 5 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• tomonori-masui / graph-neural-networks
  GNN implementations with PyG
  ☆18Updated 6 months ago
• drivendataorg / power-laws-forecasting
  Winners of the Power Laws forecasting competition
  ☆65Updated last year
• udellgroup / controlburn
  ☆18Updated last year
• Liam-E2 / RotationForest
  A python implementation of the Rotation Forest algorithm per https://arxiv.org/abs/1809.06705.
  ☆20Updated 5 years ago
• online-ml / river-extra
  Extra functionalities for river
  ☆14Updated last year
• lrjball / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆14Updated 3 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• tankwin08 / ensemble-models-ML-DL-
  Ensemble models, machine learning, deep learning, optimization
  ☆13Updated 4 years ago
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆73Updated 3 months ago
• ehart-altair / SimpsonsParadox
  Function for automatically detecting Simpson's Paradox
  ☆18Updated 4 years ago
• scikit-multiflow / streaming-datasets
  A collection of data sets for stream learning.
  ☆34Updated 5 years ago
• gmontamat / gentun
  Hyperparameter tuning for machine learning models using a distributed genetic algorithm
  ☆89Updated 9 months ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• scikit-learn-contrib / denmune-clustering-algorithm
  DenMune a clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are fi…
  ☆31Updated 3 months ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 7 years ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆24Updated 4 years ago
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆30Updated 3 years ago
• epfl-dlab / causal-distances
  ☆11Updated 2 years ago
• demand-prediction-guide / public
  2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in…
  ☆37Updated 3 years ago
• deryckt / TIRE
  Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation
  ☆39Updated 3 years ago
• Csinclair0 / feature_learning
  feature weight learning based off similarity based clustering
  ☆25Updated 5 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• vikashsahu4 / Inventory-Optimization-Algorithms
  Algorithms Library for Supply Chain Inventory Optimization
  ☆16Updated 6 years ago