iml
There are 57 repositories under iml topic.
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
ModelOriented/DALEX
moDel Agnostic Language for Exploration and eXplanation
jphall663/interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
h2oai/mli-resources
H2O.ai Machine Learning Interpretability Resources
ModelOriented/modelStudio
📍 Interactive Studio for Explanatory Model Analysis
hbaniecki/adversarial-explainable-ai
💡 Adversarial attacks on explanations and how to defend them
pbiecek/breakDown
Model Agnostics breakDown plots
12wang3/rrl
The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"
nredell/ShapML.jl
A Julia package for interpretable machine learning with stochastic Shapley values
ModelOriented/iBreakDown
Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
ModelOriented/treeshap
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
nredell/shapFlex
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
rehmanzafar/xai-iml-sota
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
automl/DeepCAVE
An interactive framework to visualize and analyze your AutoML process in real-time.
dddb11/MVSS-Net
Unofficial implementation of MVSS-Net (ICCV 2021) with Pytorch including training code.
givasile/effector
Effector - a Python package for global and regional effect methods
ModelOriented/live
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
ModelOriented/ArenaR
Data generator for Arena - interactive XAI dashboard
ModelOriented/rSAFE
Surrogate Assisted Feature Extraction in R
jphall663/diabetes_use_case
Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
pyartemis/artemis
A Python package with explanation methods for extraction of feature interactions from predictive models
jphall663/hc_ml
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
ModelOriented/Arena
Interactive XAI dashboard
12wang3/mllp
The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
navdeep-G/interpretable-ml
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
viadee/anchorsOnR
Implementation of the Anchors algorithm: Explain black-box ML models
ModelOriented/vivo
Variable importance via oscillations
h2oai/article-information-2019
Article for Special Edition of Information: Machine Learning with Python
jphall663/jsm_2018_paper
Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539
MI2DataLab/modelDown_example
examples for modelDown, package that turns model into HTML pages
pbiecek/xai_stories_2
XAI Stories 2.0. eXplainable Artificial Intelligence for Retail Analytics - case studies
gabrielcrepeault/xgbmr
Micro-reserve model using XGBoost
Oxid15/xai-benchmark
Open and extensible benchmark for XAI methods
iamwildtuna/iml-sdk
SDK для работы с API IML delivery (api.iml.ru)
FsDelivery/fsdelivery-php-sdk
Полная SDK агрегатора служб доставки FsDelivery.ru
LUH-AI/iAnchor
High precision anchor black box explanation algorithm