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Monash University
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Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.
Air pollution data visualization on an interactive globe made with three js.
This is for the under review paper Climate Change Impact on Future Landscape Fire Air Pollution and Global Mortality Burden.
Run AI-based weather forecasting models with ECMWF data
Scripts used to create global NO2 LUR model
R Package to Quickly and Neatly Summarize Data
Extended two-stage designs for environmental research
Tool for Air Pollution Scenarios as submitted to GMD.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A package to quickly visualise risk-of-bias assessment results
Introduction to Reproducible Publications with RStudio using Quarto (Monash Data Fluency fork)
(Monash Data Fluency fork) This is the sample repo used for the Reproducibility with Rstudio lesson. It contains the datasets, figures, and documents used for a Quarto Project
The Melbourne Open Data Playground GitHub community page is a part of the Melbourne Open Data Playground (MOP), an industry capstone project sponsored by Deakin University for the City of Melbourne.
H2OAI Driverless AI Code Samples and Tutorials
Introduction to REDCap Training Slides
ML-Ensemble – high performance ensemble learning
Introductory tutorial on graphical display of geographical information in R.
An updated R package deeper: Deep Ensemble for Environmental Predictor
An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)