Example Data Packages for use in tutorials

Fooling Convolution Neural Network into predicting whatever you want 👻

Fastai implementation of Evidential Deep Learning to Quantify Classification Uncertainty

Repository of examples using Node For Max authored by Cycling '74

Work on Evidential Deep Learning to Quantify Classification Uncertainty

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.

Some implementations related to maintenance modeling and optimization of offshore wind farms

Exploring techniques for estimating safety of machine learning classifiers

The source code that powers readthedocs.org

Learning Convolutional Neural Networks with Interactive Visualization.

C++ Primer 5 answers

Add social media icons to your GitHub README files.

📝 Easily create a beautiful academic website using Hugo, GitHub, and Netlify

Exploring techniques for estimating safety of machine learning classifiers

Codebase for Evaluating Attribution for Graph Neural Networks.

A game theoretic approach to explain the output of any machine learning model.

Lime: Explaining the predictions of any machine learning classifier

Simple view counter for websites and Github READMEs.

Config files for my GitHub profile.

Open source code for AlphaFold.

Deep Offshore Repair: A framework for Repair Action Recommendion using Alarm Sequences

A Semi-Markov Process-based Hierarchical Solution for Dynamic Fault Trees

A set of functions for well-known Cumulative Distribution Function (CDF)-based distance measure

A curated list of security-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights…

My Personal Github Repository

⚡ Building applications with LLMs through composability ⚡