Alternatives and similar repositories for QII

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

• sdv-dev / TGAN
  Generative adversarial training for generating synthetic tabular data.
  ☆295Updated 3 years ago
• ttzt / catalog_of_requirements_for_ai_products
  The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and produc…
  ☆134Updated 5 years ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆110Updated 2 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆196Updated 2 years ago
• ngoix / EMMV_benchmarks
  ☆50Updated 8 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated 2 years ago
• ctlab / ITMO_FS
  Feature selection library in python
  ☆146Updated 6 months ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆172Updated last month
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆243Updated 3 years ago
• DenisVorotyntsev / CategoricalEncodingBenchmark
  Benchmarking different approaches for categorical encoding for tabular data
  ☆174Updated 3 years ago
• yeounoh / slicefinder
  automatic data slicing
  ☆35Updated 4 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated 2 years ago
• eli5-org / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆324Updated 9 months 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
  ☆98Updated 2 years ago
• gm-spacagna / deep-ttf
  Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
  ☆248Updated 7 years ago
• mmortazavi / EntityEmbedding-Working_Example
  This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…
  ☆75Updated 6 years ago
• dataiku-research / mealy
  Model Error Analysis for scikit-learn models.
  ☆30Updated 4 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• Shivanandroy / CategoricalEmbedder
  Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
  ☆25Updated 6 years ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆680Updated last year
• wwwjk366 / gower
  Python package for Gower distance
  ☆82Updated last year
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated last year
• ilias-ant / adversarial-validation
  A tiny framework to perform adversarial validation of your training and test data.
  ☆24Updated last year
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆298Updated 2 years ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆361Updated 4 years ago
• sdv-dev / SDGym
  Benchmarking synthetic data generation methods.
  ☆299Updated this week
• ai-fast-track / timeseries
  Time Series package for fastai v2
  ☆95Updated 2 years ago
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆249Updated last week
• ML-EDM / ML-EDM
  ☆20Updated last year
• firmai / datagene
  DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
  ☆206Updated 4 years ago