My code from the bootcamp.
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Updated
Oct 29, 2021 - JavaScript
My code from the bootcamp.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
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
Odoo Best Practices - Online Book
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
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
Features programs and explanations in C++. You are welcome to contribute here!
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
FeatureTour - Enhance your WPF applications with interactive tutorials!
FULL Implementation of RCNN from scratch
JS concepts explained using programs with descriptions. Run and learn.
Local explanations with uncertainty 💐!
Notes from web development bootcamp courses on Udemy by Colt Steele
The Machine Learning Toybox for testing the behavior of autonomous agents.
Code from obscurejavascript.tumblr.com in an easy to download format
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