Alternatives and similar repositories for interpretable-ml-book:

Users that are interested in interpretable-ml-book are comparing it to the libraries listed below

• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,350Updated this week
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,315Updated 3 weeks ago
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,306Updated 3 months ago
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆11,704Updated 5 months ago
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆23,240Updated this week
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,763Updated 2 years ago
• keras-team / keras-tuner
  A Hyperparameter Tuning Library for Keras
  ☆2,866Updated last month
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,894Updated 3 weeks ago
• ctgk / PRML
  PRML algorithms implemented in Python
  ☆11,526Updated 3 months ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,334Updated this week
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆4,941Updated 2 months ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,669Updated 2 years ago
• facebookresearch / hiplot
  HiPlot makes understanding high dimensional data easy
  ☆2,777Updated last year
• lmcinnes / umap
  Uniform Manifold Approximation and Projection
  ☆7,565Updated last month
• mml-book / mml-book.github.io
  Companion webpage to the book "Mathematics For Machine Learning"
  ☆13,593Updated last year
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,275Updated last month
• jphall663 / awesome-machine-learning-interpretability
  A curated list of awesome responsible machine learning resources.
  ☆3,703Updated last week
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,939Updated last week
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,429Updated last month
• vaexio / vaex
  Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…
  ☆8,321Updated 3 months ago
• karpathy / arxiv-sanity-preserver
  Web interface for browsing, search and filtering recent arxiv submissions
  ☆5,169Updated 3 years ago
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,628Updated 2 weeks ago
• mwouts / jupytext
  Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
  ☆6,710Updated 3 weeks ago
• probml / pml-book
  "Probabilistic Machine Learning" - a book series by Kevin Murphy
  ☆5,069Updated last month
• AnswerDotAI / nbdev
  Create delightful software with Jupyter Notebooks
  ☆4,986Updated 3 weeks ago
• chiphuyen / machine-learning-systems-design
  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
  ☆9,260Updated last year
• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,628Updated last month
• microsoft / hummingbird
  Hummingbird compiles trained ML models into tensor computation for faster inference.
  ☆3,372Updated last week
• soulmachine / machine-learning-cheat-sheet
  Classical equations and diagrams in machine learning
  ☆7,526Updated 5 months ago
• optuna / optuna
  A hyperparameter optimization framework
  ☆11,236Updated this week