Alternatives and similar repositories for GWU_rml

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

• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• alteryx / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 4 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 5 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 3 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 5 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 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
• drivendataorg / power-laws-cold-start
  ☆23Updated last year
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 8 years ago
• mpearmain / scikit-wrapRs
  ☆13Updated 8 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated last year
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 6 years ago
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 5 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆37Updated 5 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 9 years ago
• sachinruk / bayes_school
  ☆16Updated 6 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 11 months ago
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated last year
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• gumption / pydata-simpsons
  Content associated with a PyData Seattle 2017 tutorial on Unevenly spaced time series analysis of The Simpsons using pandas
  ☆15Updated 8 years ago