lopusz / awesome-interpretable-machine-learning
☆910Updated last year
Alternatives and similar repositories for awesome-interpretable-machine-learning:
Users that are interested in awesome-interpretable-machine-learning are comparing it to the libraries listed below
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆819Updated 2 years ago
- H2O.ai Machine Learning Interpretability Resources☆483Updated 4 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆799Updated 2 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆673Updated 7 months ago
- ☆264Updated 5 years ago
- A curated list of gradient boosting research papers with implementations.☆1,011Updated 10 months ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆742Updated 4 years ago
- XAI - An eXplainability toolbox for machine learning☆1,146Updated 3 years ago
- A curated list of awesome responsible machine learning resources.☆3,703Updated last week
- Attributing predictions made by the Inception network using the Integrated Gradients method☆607Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆107Updated last year
- Interpretability and explainability of data and machine learning models☆1,652Updated 6 months ago
- Bayesian Deep Learning Benchmarks☆666Updated last year
- python partial dependence plot toolbox☆849Updated 4 months ago
- ☆569Updated last year
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆415Updated 4 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,373Updated last month
- Code for the TCAV ML interpretability project☆634Updated 5 months ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆705Updated 3 years ago
- ML-Ensemble – high performance ensemble learning☆848Updated last year
- Algorithms for explaining machine learning models☆2,429Updated last month
- A collection of research materials on explainable AI/ML☆1,442Updated 2 months ago
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆499Updated 4 months ago
- Ensemble learning related books, papers, videos, and toolboxes☆291Updated 5 years ago
- Python implementation of the rulefit algorithm☆411Updated last year
- Interpretability Methods for tf.keras models with Tensorflow 2.x☆1,021Updated 7 months ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆424Updated 7 months ago
- Public facing deeplift repo☆846Updated 2 years ago
- ☆784Updated 4 years ago