Perth Machine Learning Group's repositories
generative_music_playground
Links for music + machine learning
deep-rl-bootcamp
Deep RL Bootcamp solutions
GAMEncoding
Gramian Angular Field - Encoding Time Series as Images
pmlg.github.io
Group Website
Language-Model
Code for the language model that were used for 2017 Hackathon
Getting-started-in-ML
Growth Team
pytorch_GCN
Graph Convolutional Network
fastai-studygroup-multiinput
fastai study group: Multi Input
June2023_LLM_repo
Unlocking the power of Large Language models PMLG talk
autoencoder
Jupyter notebook for the implementation of autoencoder
ResBaz19_Perth
Research Bazzer 2019 Perth (Intro to Machine Learning)
wide_area_observation_project
Repository for the Wide area observation project
2023_gov_AI_Consultation
Collection point for 2023 Australian Government consultation on AI
AI_Governance_risks_and_regulation
Research on AI Governance Risk Regulation Alignment and Safety
Brassica_oleracea_rapa_napus_code
Code for the Brassica oleracea/rapa/napus genomic comparison
data_augmentation_talk
Code for a talk on data augmentation 2017-09-21
explore_australia
Access to Australia-wide public data for OZ Minerals/Unearthed Explorer challenge
RL_crushers
Deep Reinforcement Learning to optimise underground crushers
SheCodes19
PMLG Introduction to Machine Learning for SheCodes
SheCodes20
Workshop holds on 15 July 2020
visualising_vgg
A notebook and some functions for visualising convolutional neural networks, using VGG as an example.