Alternatives and similar repositories for keras_boston_housing_price

Users that are interested in keras_boston_housing_price are comparing it to the libraries listed below

• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 5 years ago
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆84Updated 2 years ago
• ModelOriented / DALEX-docs
  Documentation for the DALEX project
  ☆36Updated last year
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆57Updated 4 years ago
• dasirra / latent-class-analysis
  LCA implementation for python
  ☆42Updated 3 years ago
• pbiecek / ema
  Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
  ☆196Updated last year
• ryanholbrook / decision-boundaries-animations
  Animations of classifiers learning decision boundaries.
  ☆22Updated 5 years ago
• ModelOriented / fairmodels
  Flexible tool for bias detection, visualization, and mitigation
  ☆86Updated last month
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• pbiecek / InterpretableMachineLearning2020
  Lecture notes for 'Interpretable Machine Learning' at WUT and UoW. Summer semester 2019/2020
  ☆29Updated 5 years ago
• RamiKrispin / USelectricity
  Forecast the US demand for electricity
  ☆100Updated 3 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• AidanCooper / shap-clustering
  How to use SHAP values for better cluster analysis
  ☆59Updated 3 years ago
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆189Updated 6 years ago
• SeanPLeary / shapley-values-h2o-example
  Shapley Values with H2O AutoML Example (ML Interpretability)
  ☆19Updated 6 years ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆124Updated 3 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• asbates / bayes-time-series
  ☆27Updated 7 years ago
• jphall663 / diabetes_use_case
  Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
  ☆27Updated last year
• SeanPLeary / time-series-h2o-automl-example
  Time-series forecasting using H2O's AutoML example
  ☆47Updated 6 years ago
• petersontylerd / mlmachine
  mlmachine accelerates machine learning experimentation
  ☆29Updated 3 years ago
• MI2DataLab / XAI-tools
  ☆29Updated 4 years ago
• SelfExplainML / GamiNet
  GAMI-Net: Generalized Additive Models with Structured Interactions
  ☆31Updated 3 years ago
• numeristical / resources
  A collection of resources for learning and research.
  ☆97Updated 7 months ago
• smazzanti / tds_black_box_models_more_explainable
  Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in To…
  ☆73Updated 2 years ago
• mloning / intro-to-ml-with-time-series-DSSGx-2020
  Python tutorial on machine learning with time series for DSSGx 2020
  ☆23Updated 5 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆78Updated 3 years ago
• ecoronado92 / towards_data_science
  Repo containing code for Towards Data Science articles
  ☆29Updated 5 years ago
• Yu-Group / iterative-Random-Forest
  Python implementation of iterative-random-forests
  ☆68Updated 2 years ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 3 months ago