christophM / interpretable-ml-book

Related projects ⓘ

Alternatives and complementary repositories for interpretable-ml-book

• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,297Updated this week
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆11,619Updated 3 months ago
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆22,895Updated last week
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆4,909Updated this week
• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,545Updated 3 months ago
• jphall663 / awesome-machine-learning-interpretability
  A curated list of awesome responsible machine learning resources.
  ☆3,667Updated last week
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,272Updated this week
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,758Updated 2 years ago
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,849Updated this week
• mml-book / mml-book.github.io
  Companion webpage to the book "Mathematics For Machine Learning"
  ☆13,247Updated 10 months ago
• afshinea / stanford-cs-230-deep-learning
  VIP cheatsheets for Stanford's CS 230 Deep Learning
  ☆6,364Updated 4 years ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,259Updated 3 weeks ago
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,637Updated this week
• probml / pml-book
  "Probabilistic Machine Learning" - a book series by Kevin Murphy
  ☆4,983Updated 4 months ago
• yzhao062 / pyod
  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
  ☆8,593Updated last week
• PAIR-code / facets
  Visualizations for machine learning datasets
  ☆7,357Updated last year
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,293Updated last month
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,884Updated 2 weeks ago
• lopusz / awesome-interpretable-machine-learning
  ☆906Updated last year
• optuna / optuna
  A hyperparameter optimization framework
  ☆10,939Updated this week
• ctgk / PRML
  PRML algorithms implemented in Python
  ☆11,453Updated last month
• tensorflow / lucid
  A collection of infrastructure and tools for research in neural network interpretability.
  ☆4,673Updated last year
• alirezadir / Production-Level-Deep-Learning
  A guideline for building practical production-level deep learning systems to be deployed in real world applications.
  ☆4,355Updated last year
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆4,935Updated this week
• facebookresearch / hiplot
  HiPlot makes understanding high dimensional data easy
  ☆2,756Updated 10 months ago
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,427Updated 3 months ago
• rasbt / python-machine-learning-book-2nd-edition
  The "Python Machine Learning (2nd edition)" book code repository and info resource
  ☆7,120Updated 4 years ago
• rasbt / deeplearning-models
  A collection of various deep learning architectures, models, and tips
  ☆16,746Updated 9 months ago
• pycaret / pycaret
  An open-source, low-code machine learning library in Python
  ☆8,958Updated this week
• statsmodels / statsmodels
  Statsmodels: statistical modeling and econometrics in Python
  ☆10,152Updated this week