ELVIS (Enhance Learning of machine learning with interactive VISualizations) is a collection of interactive machine learning visualizations developed to help learning and teaching of machine learning concepts. We will be enhancing existing visualisations and add more visualisations!

We welcome feedback.

Decision Boundary Decision Boundary Regularization Regularization Optimization Optimization Gaussian Processes Gaussian Processes MLP MLP CNN CNN SGD Classifier SGD Classifier Ensembles Ensemble Diffusion model Diffusion model MDP MDP




Team members: Nan Ye, Ian Wood, Xin Guo, Joel Woodfield.

Acknowledgement: The ELVIS project is supported by a Teaching and Learning grant provided by the School of Mathematics and Physics, and a Teaching and Learning grant provided by the Faculty of Science at The University of Queensland.