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
  ☆27Updated 8 years ago
• vcerqueira / experiments-sizematters
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated this week
• dunnkers / fseval
  Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
  ☆19Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆29Updated 5 years ago
• canturan10 / image.classification.on.EuroSAT
  Image Classification on EuroSAT
  ☆12Updated 3 years ago
• UBC-MDS / RegscorePy
  This is the repo for a python package that does model comparison between different regression models.
  ☆22Updated 7 years ago
• UCIDataScienceInitiative / AdvPredictiveModeling_withPython
  Jupyter Notebooks for Adv. Predictive Modeling Course
  ☆15Updated 8 years ago
• justinalsing / dlmmc
  Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.
  ☆25Updated 5 years ago
• JonasImazon / Road_detection_model
  ☆25Updated 3 years ago
• pysal / spvcm
  multilevel spatially-correlated variance components models
  ☆18Updated last year
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆69Updated 3 years ago
• pjaselin / Cubist
  A Python package for fitting Quinlan's Cubist regression model
  ☆58Updated 3 weeks ago
• thomasjpfan / ml-workshop-advanced
  ☆15Updated 3 years ago
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆42Updated 3 years ago
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆21Updated 3 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• saturncloud / dask-pytorch-ddp
  dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.
  ☆58Updated 4 years ago
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆70Updated 4 years ago
• wassname / awesome-satellite-imagery-competitions
  List of machine learning competitions for satellite imagery and remote sensing.
  ☆11Updated 6 years ago
• giotto-ai / tutorial_mapper
  ☆13Updated 5 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆27Updated 5 years ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 2 months ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆23Updated 3 years ago
• Datalab-FIT-CTU / weather4cast-2022
  WeatherFusionNet - our solution to the NeurIPS 2022 Weather4cast competition
  ☆33Updated 2 years ago
• FlorentF9 / skstab
  Clustering stability analysis in Python with a scikit-learn compatible API.
  ☆22Updated 2 years ago
• soroushj / keras-balanced-batch-generator
  A Keras-compatible generator for creating balanced batches
  ☆16Updated last year
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆86Updated last month
• Brett-Kennedy / ikNN
  An interpretable kNN based on aggregating the predictions of multiple 2d spaces.
  ☆13Updated last year
• 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
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆55Updated 11 months ago