TeamHG-Memex / eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
☆2,758Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for eli5
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,291Updated last month
- A library of sklearn compatible categorical variable encoders☆2,410Updated last month
- Hyper-parameter optimization for sklearn☆1,587Updated 4 months ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆4,901Updated this week
- python partial dependence plot toolbox☆845Updated 2 months ago
- An open source python library for automated feature engineering☆7,257Updated this week
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆6,839Updated last month
- MLBox is a powerful Automated Machine Learning python library.☆1,500Updated last year
- Pandas integration with sklearn☆2,810Updated last year
- ☆745Updated last year
- Python implementations of the Boruta all-relevant feature selection method.☆1,509Updated 2 months ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,427Updated 2 months ago
- [UNMAINTAINED] Automated machine learning for analytics & production☆1,644Updated 3 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,282Updated this week
- Lime: Explaining the predictions of any machine learning classifier☆11,596Updated 3 months ago
- ML-Ensemble – high performance ensemble learning☆846Updated 11 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,745Updated 8 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆5,873Updated this week
- machine learning with logical rules in Python☆624Updated 9 months ago
- Algorithms for explaining machine learning models☆2,409Updated 3 months ago
- Automated Machine Learning with scikit-learn☆7,617Updated last week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,251Updated last week
- Extra blocks for scikit-learn pipelines.☆1,271Updated this week
- Code for "High-Precision Model-Agnostic Explanations" paper☆797Updated 2 years ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,729Updated 3 months ago
- A system for quickly generating training data with weak supervision☆5,807Updated 6 months ago
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,177Updated last year
- Feature engineering package with sklearn like functionality☆1,913Updated this week
- A python library for decision tree visualization and model interpretation.☆2,957Updated 2 months ago