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!
Local explanations with uncertainty 💐!
FULL Implementation of RCNN from scratch
JS concepts explained using programs with descriptions. Run and learn.
Explanation system for semi-supervised multi-objective optimization
Notes from web development bootcamp courses on Udemy by Colt Steele
The Machine Learning Toybox for testing the behavior of autonomous agents.
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