A library for debugging/inspecting machine learning classifiers and explaining their predictions

My code from the bootcamp.

A Laravel package making a diagram of your models, relations and the ability to build them with it

OmniXAI: A Library for eXplainable AI

Solutions for the collection of TypeScript type challenges with explanations

a literate raytracer in javascript

I'm currently preparing for my CCNA 200-301 Exam. During this preparation, I build some labs on various topics of Networking with the help of Cisco Packet Tracer. I hope, these labs will help you too during your preparations. (View README for Explanation).

Pytorch Implementation of recent visual attribution methods for model interpretability

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

Learn how URLs work by visually inspecting their structure.

Guide and explanation of the Tracing crate, a Rust logging crate by Tokio.

Code from obscurejavascript.tumblr.com in an easy to download format

A Wiki about common mistakes when using the Arduino Wire library.

Odoo Best Practices - Online Book

Generating and validating natural-language explanations for the brain.

Open source library for angular apps to illustrate custom material pages content with steps (ideal for tutorials and explanations purposes)

AnswerGit is a platform that allows you to analyze Git repositories and ask AI questions about the code. It uses AI to provide detailed explanations and summaries of Git commands, workflows, and code structure, making it easier to understand and interact with code repositories.

FULL Implementation of RCNN from scratch

Local explanations with uncertainty 💐!