Tirgit's Stars
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
yihui/knitr
A general-purpose tool for dynamic report generation in R
tidyverse/tidyverse
Easily install and load packages from the tidyverse
autonomio/talos
Hyperparameter Experiments with TensorFlow and Keras
topepo/caret
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
ModelOriented/DALEX
moDel Agnostic Language for Exploration and eXplanation
ModelOriented/DrWhy
DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.
dssg/aequitas
Bias Auditing & Fair ML Toolkit
mbilalzafar/fair-classification
Python code for training fair logistic regression classifiers.
ModelOriented/fairmodels
Flexible tool for bias detection, visualization, and mitigation
Thie1e/cutpointr
Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification
mkusner/counterfactual-fairness
Code for "Counterfactual Fairness" (NIPS2017)
johanndejong/VaDER
Deep learning for clustering of multivariate short time series with potentially many missing values
Tirgit/missCompare
missCompare R package - intuitive missing data imputation framework
valeman/awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
kozodoi/fairness
R package for computing and visualizing fair ML metrics
choprashweta/Adversarial-Debiasing
Implementation of Adversarial Debiasing in PyTorch to address Gender Bias
topepo/FES_Selection_Simulation
Feature Selection Simulation Files
aejensen/TrendinessOfTrends
The Trendiness of Trends
ModelOriented/FairPAN
nina-gh/procedurally_fair_learning
lassefolkersen/scallop-web-browser
This is the code detailing the SCALLOP web-browser. The SCALLOP is a proteomics QTL study of >20k people. The browser enables browsing of results.