lopusz / awesome-interpretable-machine-learning
☆906Updated last year
Related projects ⓘ
Alternatives and complementary repositories for awesome-interpretable-machine-learning
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆822Updated 2 years ago
- H2O.ai Machine Learning Interpretability Resources☆484Updated 3 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆673Updated 5 months ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆799Updated 2 years ago
- XAI - An eXplainability toolbox for machine learning☆1,125Updated 3 years ago
- A collection of research materials on explainable AI/ML☆1,422Updated 3 weeks ago
- python partial dependence plot toolbox☆845Updated 2 months ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆734Updated 4 years ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆598Updated 2 years ago
- A curated list of awesome responsible machine learning resources.☆3,667Updated last week
- Interpretability and explainability of data and machine learning models☆1,633Updated 4 months ago
- ☆264Updated 4 years ago
- All about explainable AI, algorithmic fairness and more☆107Updated last year
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,365Updated 7 months ago
- Code for all experiments.☆307Updated 3 years ago
- ☆565Updated last year
- ML-Ensemble – high performance ensemble learning☆848Updated last year
- A toolbox to iNNvestigate neural networks' predictions!☆1,268Updated 11 months ago
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆222Updated 4 years ago
- Algorithms for explaining machine learning models☆2,414Updated this week
- Tuning hyperparams fast with Hyperband☆593Updated 6 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆706Updated 3 years ago
- Bayesian Deep Learning Benchmarks☆663Updated last year
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆499Updated 3 months ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆72Updated 2 years ago
- Python implementation of the rulefit algorithm☆411Updated last year
- ☆775Updated 3 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆827Updated 4 years ago
- A curated list of awesome Fairness in AI resources☆314Updated last year