Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Updated
Oct 19, 2024 - HTML
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Explaining the output of machine learning models with more accurately estimated Shapley values
All about explainable AI, algorithmic fairness and more
In the wild extraction of entities that are found using Flair and displayed using a very elegant front-end.
Counterfactual SHAP: a framework for counterfactual feature importance
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.
Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data
Explainable AI: From Simple Rules to Complex Generative Models
Concise summaries of key papers in responsible AI.
Explainable Speaker Recognition system
This repository contains the code of a website to label the commentary for Reinforcement Learning decisions in Pong and Maze environment.
Implementing text classification algorithms using the 20 newsgroups datasets, with python
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
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses
Mythral Neurosymbolic AI
In this article, the factors affecting BERT's transferability is explained through visualizations
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.
Explainable AI for Healthcare
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