maksymiuks

Granat_Maksymiuk_Thesis

16-01-2020-xai-workshop

Materiały z warsztatów XAI = DALEX + DALEXtra

2020Z-ProgramowanieWR

abstracts-1

auprc

Package for calculating AUPRC (Area Under Precision-Recall Curve) in R

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

DALEX

moDel Agnostic Language for Exploration and eXplanation

deepdep

Visualise dependiences between packages in an elegant way

EIX

Structure mining for xgboost model

ingredients

Model ingredients - model level feature effects and feature importance

rSAFE

Surrogate Assisted Feature Extraction in R

shinyforms

Easily create questionnaire-type forms with Shiny

treeshap

Explain your tree model with shap values efficiently

auditor

Audit of regression models

checked

covtracer

Tools for contextualizing tests, built using covr test traces.

crmPack

Object-Oriented Implementation of CRM Designs

DALEX_docs

Descriptive mAchine Learning EXplanations

ggplot2

An implementation of the Grammar of Graphics in R

iBreakDown

Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)

lpa

naniar

Tidy data structures, summaries, and visualisations for missing data

NLP-2023W

The repositiory for open source solutions designed and deleoped during NLP course conducted by Anna Wróblewska @ Warsaw University of Technology

remotes

Install R packages from GitHub, GitLab, Bitbucket, git, svn repositories, URLs

revdepcheck

R package reverse dependency checking

testpkg

Test R package

testthat

An R 📦 to make testing 😀

vdiffr

Visual regression testing and graphical diffing with testthat

Work

Here I'll put pieces of my work before publishing it