Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

User documentation for KServe.

All about explainable AI, algorithmic fairness and more

Counterfactual SHAP: a framework for counterfactual feature importance

In the wild extraction of entities that are found using Flair and displayed using a very elegant front-end.

Explainable AI Tooling (XAI). XAI is used to discover and explain a model's prediction in a way that is interpretable to the user. Relevant information in the dataset, feature-set, and model's algorithms are exposed.

Explainable AI: From Simple Rules to Complex Generative Models

Generating global explanations from local ones

XAI-Analytics is a tool that opens the black-box of machine learning. It helps the user to understand the decision-making process of machine learning models.

We aim to analyze and comment on the psychological impact that the pandemic of COVID-19 has had on the world. Using Explainable AI, we extract the importance of factors contributing to stress and give an overview of what a country needs to improve on, to better handle its next pandemic.

Implementing text classification algorithms using the 20 newsgroups datasets, with python

XRL for Alzheimer's Disease Progression Prediction

Code of experiments implemented in the paper "Explainability of Predictive Process Monitoring results: Techniques, Experiments and Lessons Learned", comparing XAI methods at different granularities (global/local) with different settings on predictive process monitoring outcomes using process mining event logs

Understand any dataset

Conway's Game of Life is sequential, here high-dimensional states are projected into the two-dimensional space, and connected, furthermore, meta-data is added to create interactive 2D visualizations.

📈 [CHI 2023] Results of the statistical analysis applied to the UTA11 guide.

This repository includes a machine learning modeling study about estimating customers hotel cancellation and what are the reasons for these cancellations.

A natural language processing and machine learning project that predicts spam messages and explains how it does so

In this article, the factors affecting BERT's transferability is explained through visualizations

EUCA is a practical prototyping tool to support the design and evaluation of explainable AI for non-technical end-users