iml
Model explainer
Provides methods to interpret and explain the behavior of machine learning models
iml: interpretable machine learning R package
494 stars
23 watching
87 forks
Language: R
last commit: almost 2 years agoLinked from 2 awesome lists
jphall663/awesome-machine-learning-interpretability
lopusz/awesome-interpretable-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 modeloriented/modelstudio | A tool for creating interactive, model-agnostic explanations of machine learning models in R | 328 |
 csinva/imodels | An open-source package that provides interpretable machine learning models compatible with scikit-learn. | 1,406 |
 scicloj/scicloj.ml.clj-djl | Provides pre-trained machine learning models for natural language processing tasks using Clojure and the clj-djl framework. | 0 |
 mayer79/flashlight | A toolset for understanding and interpreting complex machine learning models | 22 |
| modeloriented/ibreakdown | A tool for explaining predictions from machine learning models by attributing them to specific input variables and their interactions. | 82 |
 pbiecek/xaiaterum2020 | An R package and workshop materials for explaining machine learning models using explainable AI techniques | 52 |
 interpretml/dice | Provides counterfactual explanations for machine learning models to facilitate interpretability and understanding. | 1,373 |
| giuseppec/featureimportance | A tool to assess feature importance in machine learning models | 33 |
 rmarko/explainprediction | An R package for explaining the predictions made by machine learning models in data science applications. | 2 |
 thomasp85/lime | An R package for providing explanations of predictions made by black box classifiers. | 486 |
 jalammar/ecco | An interactive visualization library for exploring and understanding transformer-based language models | 1,986 |
| modeloriented/dalex | A tool to help understand and explain the behavior of complex machine learning models | 1,390 |
 h2oai/mli-resources | Provides tools and techniques for interpreting machine learning models | 483 |
 lantanacamara/lightgbmexplainer | An R package to provide interpretability features for LightGBM models. | 23 |
 fuxiaoliu/mmc | Develops a large-scale dataset and benchmark for training multimodal chart understanding models using large language models. | 87 |