marcotcr / limeLinks
Lime: Explaining the predictions of any machine learning classifier
☆11,935Updated 11 months ago
Alternatives and similar repositories for lime
Users that are interested in lime are comparing it to the libraries listed below
Sorting:
- A game theoretic approach to explain the output of any machine learning model.☆24,121Updated this week
- Fit interpretable models. Explain blackbox machine learning.☆6,614Updated this week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 2 months ago
- An open source python library for automated feature engineering☆7,485Updated last week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,439Updated last month
- Automated Machine Learning with scikit-learn☆7,881Updated 2 weeks ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,013Updated 3 weeks ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,939Updated last week
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,040Updated 3 weeks ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,358Updated 4 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,075Updated 2 weeks ago
- Uniform Manifold Approximation and Projection☆7,859Updated this week
- A system for quickly generating training data with weak supervision☆5,878Updated last year
- Visualizations for machine learning datasets☆7,380Updated 2 years ago
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆27,102Updated this week
- Deep universal probabilistic programming with Python and PyTorch☆8,818Updated this week
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆17,392Updated this week
- AutoML library for deep learning☆9,245Updated 6 months ago
- A curated list of awesome responsible machine learning resources.☆3,825Updated last week
- Model interpretability and understanding for PyTorch☆5,307Updated last week
- Bayesian Modeling and Probabilistic Programming in Python☆9,110Updated last week
- Algorithms for explaining machine learning models☆2,532Updated last month
- A hyperparameter optimization framework☆12,276Updated this week
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,315Updated 7 months ago
- Automatic extraction of relevant features from time series:☆8,841Updated 4 months ago
- A library of sklearn compatible categorical variable encoders☆2,450Updated 3 weeks ago
- Book about interpretable machine learning☆5,016Updated 3 months ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,437Updated 10 months ago
- A python library for decision tree visualization and model interpretation.☆3,083Updated 4 months ago
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆19,392Updated last month