Alternatives and similar repositories for QII:

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

• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆76Updated 2 years ago
• alessandroaere / ERMiner
  ERMiner: Sequential Pattern Mining algorithm for Sequential Rules generation and Event Prediction
  ☆13Updated 4 years ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆55Updated last year
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated 2 years ago
• GuillaumeStaermanML / FIF
  Source code for the ACML 2019 paper "Functional Isolation Forest".
  ☆21Updated 2 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• ngoix / EMMV_benchmarks
  ☆47Updated 7 years ago
• amazon-science / creating-and-correcting-novel-ml-model-errors
  ☆30Updated 3 years ago
• Brett-Kennedy / CountsOutlierDetector
  Interpretable, intuitive outlier detector intended for categorical and numeric data.
  ☆10Updated 10 months ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• Baukebrenninkmeijer / On-the-Generation-and-Evaluation-of-Synthetic-Tabular-Data-using-GANs
  Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs
  ☆44Updated last year
• pcerda / string_categorical_encoders
  Scripts for paper "Encoding high-cardinality string categorical variables"
  ☆24Updated 5 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• MarcelRobeer / ContrastiveExplanation
  Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
  ☆45Updated 2 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 3 years ago
• ceshine / quantile-regression-tensorflow
  Implementations of Quantile Regression
  ☆28Updated 6 years ago
• dbgannon / graphs
  ☆15Updated 4 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆71Updated 3 years ago
• aslakey / CBM_Encoding
  CBM Encoding
  ☆19Updated 4 years ago
• meelgroup / MLIC
  A new framework to generate interpretable classification rules
  ☆17Updated 2 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 5 years ago
• daisuke-motoki / change_point_detector
  Change point detection by using density ratio estimation
  ☆19Updated 7 years ago
• deeppavlov / dp_tutorials
  ☆34Updated 5 years ago
• IBM / snapboost-neurips
  Sample code related to SnapBoost associated with NeurIPS 2020 publication.
  ☆9Updated 4 years ago
• scikit-learn-contrib / mimic
  mimic calibration
  ☆21Updated 5 years ago
• emanuel-metzenthin / Lime-For-Time
  Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
  ☆95Updated last year
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆28Updated 6 years ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 2 months ago
• aajanki / sequence-classification
  Scikit-learn compatible sequence classifier
  ☆23Updated 7 years ago