marcotcr / lime
Lime: Explaining the predictions of any machine learning classifier
☆11,865Updated 9 months ago
Alternatives and similar repositories for lime:
Users that are interested in lime are comparing it to the libraries listed below
- A game theoretic approach to explain the output of any machine learning model.☆23,829Updated this week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,769Updated 2 weeks ago
- Fit interpretable models. Explain blackbox machine learning.☆6,476Updated last week
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆6,979Updated 2 weeks ago
- An open source python library for automated feature engineering☆7,431Updated 2 weeks ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆4,996Updated 3 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,339Updated 2 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,895Updated this week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,402Updated 3 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,014Updated last week
- Automatic extraction of relevant features from time series:☆8,736Updated 2 months ago
- A system for quickly generating training data with weak supervision☆5,854Updated last year
- Visualizations for machine learning datasets☆7,368Updated last year
- A collection of infrastructure and tools for research in neural network interpretability.☆4,694Updated 2 years ago
- H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…☆7,135Updated this week
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,438Updated 2 weeks ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,433Updated 8 months ago
- Topic Modelling for Humans☆15,999Updated 2 months ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,840Updated last year
- Neural network visualization toolkit for keras☆2,989Updated 3 years ago
- A library of sklearn compatible categorical variable encoders☆2,443Updated last month
- Book about interpretable machine learning☆4,939Updated last month
- Deep universal probabilistic programming with Python and PyTorch☆8,742Updated last week
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,438Updated 2 months ago
- Uplift modeling and causal inference with machine learning algorithms☆5,364Updated last week
- Uniform Manifold Approximation and Projection☆7,753Updated this week
- Bayesian Modeling and Probabilistic Programming in Python☆8,993Updated this week
- Algorithms for explaining machine learning models☆2,495Updated last month
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,297Updated 5 months ago
- Model interpretability and understanding for PyTorch☆5,202Updated this week