QUT AI & ML Society
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- Code-of-Conduct Public
The QUT AI & ML Society is committed to fostering a respectful, inclusive, and welcoming community for all members. By participating in this community, you agree to uphold the following standards of conduct.
QUTAIML/Code-of-Conduct’s past year of commit activity - Website Public
The source code of the website for AIML — built to showcase our events, initiatives, and community
QUTAIML/Website’s past year of commit activity - Constitution Public
The official constitution of QUT AIML, outlining our structure, rules, and governance.
QUTAIML/Constitution’s past year of commit activity - NTI_Project_Backend Public
A machine learning-driven backend designed to ingest motor insurance claims, identify high-complexity cases, and predict processing durations to enable early intervention and triaging.
QUTAIML/NTI_Project_Backend’s past year of commit activity - NTI_Project_Frontend Public
Frontend for the QUT AIML Motor Claims Predictive Dashboard. A React-based React/Vue/TypeScript interface providing real-time visualization of claim complexity scores, predictive timelines, and automated triaging for motor insurance claims.
QUTAIML/NTI_Project_Frontend’s past year of commit activity - Linear-Regression Public
This repository is a beginner-friendly introduction to linear regression, designed to help users understand one of the foundational algorithms in machine learning.
QUTAIML/Linear-Regression’s past year of commit activity - Clustering Public
This repository provides a simple and practical introduction to clustering algorithms, with examples and project challenges that help users build real experience grouping data and uncovering patterns without labeled outcomes.
QUTAIML/Clustering’s past year of commit activity - Reinforcement-Learning Public
This repository provides a practical introduction to reinforcement learning, featuring examples and project challenges that help users build real experience teaching agents to make decisions through trial and reward.
QUTAIML/Reinforcement-Learning’s past year of commit activity - Transformers Public
This repository offers a practical introduction to Transformer models, with examples and challenges that give users hands-on experience in natural language processing and attention mechanisms. No Decepticons here—just powerful learning, Optimus Prime approved.
QUTAIML/Transformers’s past year of commit activity
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