iml · GitHub Topics

#计算机科学#Fit interpretable models. Explain blackbox machine learning.

机器学习 interpretability gradient-boosting blackbox scikit-learn xai interpretml interpretable-machine-learning interpretable-ai transparency iml interpretable-ml explainable-ml explainability bias 人工智能 explainable-ai differential-privacy

C++ 6.6 k

1 天前

ModelOriented / DALEX

#计算机科学#moDel Agnostic Language for Exploration and eXplanation

机器学习 interpretability 数据科学 xai iml model-visualization explanations explainable-ai predictive-modeling explainable-ml interpretable-machine-learning responsible-ai responsible-ml fairness

Python 1.43 k

5 个月前

jphall663 / interpretable_machine_learning_with_python

#计算机科学#Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

机器学习 Python xai gradient-boosting-machine decision-tree 数据科学 fairness interpretable-machine-learning interpretability machine-learning-interpretability iml transparency data-mining interpretable-ml interpretable-ai lime h2o

Jupyter Notebook 681

1 年前

h2oai / mli-resources

#计算机科学#H2O.ai Machine Learning Interpretability Resources

机器学习 Python jupyter-notebooks interpretability 数据科学 data-mining h2o xai transparency fairness xgboost machine-learning-interpretability iml interpretable-machine-learning interpretable-ml interpretable-ai explainable-ml

Jupyter Notebook 489

5 年前

ModelOriented / modelStudio

#学习与技能提升#📍 Interactive Studio for Explanatory Model Analysis

xai iml interpretability interpretable-machine-learning explainable-ai model-visualization learning machine interactive model 人工智能 human R 可视化

R 332

2 年前

hbaniecki / adversarial-explainable-ai

💡 Adversarial attacks on explanations and how to defend them

interpretable-machine-learning adversarial-machine-learning iml adversarial-attacks interpretability xai explainable-ai adversarial-examples explainability 安全 responsible-ai robustness model evaluation deep counterfactual defense

319

7 个月前

scu-zjz / IMDLBenCo

[NeurIPS'24 Spotlight] A comprehensive benchmark & codebase for Image manipulation detection/localization.

benchmark iml

Python 226

12 天前

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 Classif...

representation-learning scalability interpretable-ai interpretable-ml explainable-ai explainable-ml neurips nips xai interpretable-machine-learning iml interpretability explainability neuro-symbolic-ai

Python 112

1 年前

givasile / effector

Effector - a Python package for global and regional effect methods

explainability iml xai

Jupyter Notebook 110

12 天前

pbiecek / breakDown

#计算机科学#Model Agnostics breakDown plots

机器学习 interpretability 数据科学 xai iml

R 103

1 年前

nredell / ShapML.jl

A Julia package for interpretable machine learning with stochastic Shapley values

shap iml interpretable-machine-learning feature-importance Julia 语言 shapley

Julia 90

1 年前

ModelOriented / treeshap

#计算机科学#Compute SHAP values for your tree-based models using the TreeSHAP algorithm

explainability explainable-ai iml interpretability interpretable-machine-learning 机器学习 responsible-ml shap xai

R 88

1 年前

automl / DeepCAVE

An interactive framework to visualize and analyze your AutoML process in real-time.

automl iml 可视化 analysis interactive real-time

Python 88

7 天前

ModelOriented / iBreakDown

Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)

xai iml interpretability shapley

R 84

2 年前

nredell / shapFlex

#计算机科学#An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model

shapley ensemble 机器学习 package R feature-importance iml interpretable-machine-learning r-package shap causality causal-inference causal-networks

R 75

5 年前

rehmanzafar / xai-iml-sota

#计算机科学#Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

机器学习 xai iml interpretable-machine-learning explainable-ml human-in-the-loop interpretability model-interpretability

R 73

3 年前

dddb11 / MVSS-Net

Unofficial implementation of MVSS-Net (ICCV 2021) with Pytorch including training code.

iml PyTorch unofficial

Python 69

2 年前

ModelOriented / live

#计算机科学#Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN

model-visualization 机器学习 interpretability lime xai iml

R 35

6 年前

ModelOriented / ArenaR

Data generator for Arena - interactive XAI dashboard

xai iml interpretability explainability

R 31

5 年前