Alternatives and similar repositories for bayarea-2019-scikit-sprint

Users that are interested in bayarea-2019-scikit-sprint are comparing it to the libraries listed below

• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆727Updated 4 months ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆807Updated 3 years ago
• kundajelab / deeplift
  Public facing deeplift repo
  ☆864Updated 3 years ago
• Trusted-AI / AIF360
  A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitig…
  ☆2,647Updated 9 months ago
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆915Updated last month
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,776Updated 4 months ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,557Updated this week
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• scikit-learn-contrib / project-template
  A template for scikit-learn extensions
  ☆335Updated 7 months ago
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,375Updated 6 months ago
• sebp / scikit-survival
  Survival analysis built on top of scikit-learn
  ☆1,225Updated last week
• Trusted-AI / AIX360
  Interpretability and explainability of data and machine learning models
  ☆1,732Updated 6 months ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,461Updated 3 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,793Updated last year
• boada / data-science-interviews
  Data science interview questions and answers
  ☆10Updated 5 years ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,771Updated last week
• lopusz / awesome-interpretable-machine-learning
  ☆917Updated 2 years ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆516Updated 3 months ago
• fairlearn / fairlearn
  A Python package to assess and improve fairness of machine learning models.
  ☆2,118Updated this week
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,279Updated last year
• CamDavidsonPilon / lifelines
  Survival analysis in Python
  ☆2,492Updated 10 months ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,678Updated 2 weeks ago
• EpistasisLab / pmlb
  PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
  ☆840Updated 6 months ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,589Updated 2 weeks ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆863Updated last year
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆682Updated last year
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,446Updated 2 months ago
• xiey1 / OncoMatch
  ☆11Updated 5 years ago
• EthicalML / xai
  XAI - An eXplainability toolbox for machine learning
  ☆1,198Updated 3 years ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆947Updated 2 years ago