Alternatives and similar repositories for SHAP_tutorial:

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

• 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…
  ☆30Updated last month
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆25Updated 7 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆63Updated 2 months ago
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆24Updated 4 years ago
• udellgroup / controlburn
  ☆18Updated last year
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 4 years ago
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆31Updated 7 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• ITE-5th / fuzzy-clustering
  Gustafson Kessel & Fuzzy C-Means Implementation
  ☆28Updated 3 years ago
• drivendataorg / power-laws-anomalies
  ☆33Updated last year
• Liam-E2 / RotationForest
  A python implementation of the Rotation Forest algorithm per https://arxiv.org/abs/1809.06705.
  ☆20Updated 5 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆89Updated last year
• sktime / distance-based-time-series-clustering
  ☆10Updated 2 years ago
• gditzler / ConceptDriftResources
  A collection of resources for concept drift data and software
  ☆36Updated 9 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
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆130Updated 7 months ago
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated last year
• Jcharis / Interpreting-Machine-Learning-Models
  Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
  ☆25Updated 3 years ago
• erdogant / hnet
  Association ruled based networks using graphical Hypergeometric Networks.
  ☆28Updated last year
• timzatko / Sklearn-Nature-Inspired-Algorithms
  Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
  ☆28Updated last year
• scikit-multiflow / streaming-datasets
  A collection of data sets for stream learning.
  ☆31Updated 4 years ago
• Simon-Bertrand / Clusters-Features
  The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set. It compu…
  ☆31Updated 2 years ago
• Ennosigaeon / automl_benchmark
  A benchmark to evaluate popular CASH and AutoML frameworks
  ☆16Updated 10 months ago
• akestoridis / mcdm
  Python implementation of multiple-criteria decision-making algorithms
  ☆68Updated 2 years ago
• conorosully / medium-articles
  Code used to obtain results for my medium articles
  ☆73Updated last year
• viniciusarruda / ga-pso-fuzzy-classifier
  Classifing the iris dataset with fuzzy logic, genetic algorithm and particle swarm optimization.
  ☆11Updated 5 years ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 4 years ago
• tomonori-masui / graph-neural-networks
  GNN implementations with PyG
  ☆18Updated 2 months ago
• mrapp-ke / Boomer
  A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-label Classification Rules
  ☆20Updated 10 months ago
• rjtmahinay / fuzzy-association-rule-mining
  Comparison of Apriori and FP-Growth Algorithm in accuracy metrics, execution time and memory usage for a prediction system of dengue.
  ☆32Updated 6 years ago