giuseppec

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

gpt4all

GPT4All: Chat with Local LLMs on Any Device

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

olive

Free open-source non-linear video editor

Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

pretix

Ticket shop application for conferences, festivals, concerts, tech events, shows, exhibitions, workshops, barcamps, etc.

freelancer-theme

Jekyll theme based on Freelancer Start Bootstrap theme

agency-jekyll-theme

Agency Theme for Jekyll

jekyll-serif-theme

Serif is a multi page business theme for Jekyll.

ml-contests-conf

ML and DL related contests, competitions and conference challenges.

happy-git-with-r

Using Git and GitHub with R, Rstudio, and R Markdown

mboxviewer

A small but powerfull app for viewing MBOX files

pdf2pptx

Convert your (Beamer) PDF slides to (Powerpoint) PPTX

educenter-hugo

Educenter is an educational website template powered by Hugo. It can be used as an online teaching platform, school and university website.

lecture_i2ml

I2ML lecture repository

awesome-xai

Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources

pre

an R package for deriving Prediction Rule Ensembles

effector

Effector - a Python package for global and regional effect methods

gosdt-guesses

Generalized Optimal Sparse Decision Trees

scmamp

Statistical comparison of multiple algorithms

nestedcv

Nested cross-validation for accurate confidence intervals for prediction error.

moc

Multi-Objective Counterfactuals

justetf-scraping

Scraping the justETF

lecture_iml

fippy

Feature Importance with Python

mlr3summary

introduction_iml_bliz_summerschool

This repository provides a short introduction into the most popular model-agnostic IML (interpretable machine learning) methods. A presentation containing the theoretical background and examples as well as excercises on real-world data are included.