Informationsfabrik / feature-engineering

Related projects ⓘ

Alternatives and complementary repositories for feature-engineering

• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆41Updated last year
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 2 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 3 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 4 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• morganmcg1 / ntentional
  The ntentional blog - a machine learning journey
  ☆23Updated 2 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆50Updated last year
• ShopRunner / octopod
  Train multi-task image, text, or ensemble (image + text) models
  ☆45Updated last year
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 5 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year
• leenamurgai / debias-ml
  A practical, explainable and effective method for reducing bias in machine learning algorithms.
  ☆21Updated 4 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated last year
• jphall663 / GWU_rml
  ☆35Updated 9 months ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated last year
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 4 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆36Updated 3 years ago
• DataSystemsGroupUT / SmartML
  SmartML: Supervised Machine Learning Automation in R
  ☆24Updated 4 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 5 years ago
• pbiecek / xai_stories
  XAI Stories. Case studies for eXplainable Artificial Intelligence
  ☆29Updated 4 years ago
• SeanPLeary / shapley-values-h2o-example
  Shapley Values with H2O AutoML Example (ML Interpretability)
  ☆19Updated 5 years ago
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 4 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 3 weeks 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)
  ☆36Updated 4 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• muellerzr / fastai2_tabular_hybrid
  Developing and integrating methods for fastai2 tabular with other datatypes
  ☆26Updated 2 years ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆41Updated last year
• koaning / scikit-fairness
  this repo might get accepted
  ☆29Updated 3 years ago
• tcassou / babtest
  Python package for Bayesian Tests / AB Testing
  ☆40Updated 4 years ago