Module 3 - List of Implementation Practicals

Notes.

• There are 3 implementation practicals that you can choose from as follows.
• Each is on a different topic as listed.
• You do this assignment individually.
• You only need to complete one of the three practicals.
• You need to complete the python notebook according to the instructions, print to pdf, and upload the pdf through the assignment portal. 
• If you have questions, preferably ask them through canvas so all can contribute or see, but you can also directly contact the corresponding teachers.

List of Implementation Practicals

• Modelling Aleatoric and Epistemic Uncertainties using MLE-trained and VI-trained Deep Networks  (Hossein)
  • VI_Network_Practical_v0_1.ipynb Download VI_Network_Practical_v0_1.ipynb
• Modelling Uncertainties using Ensemble of Networks (Part1:  Yiping, Part2: Erik) 
  • Ensemble_PartI.ipynb Download Ensemble_PartI.ipynb
  • Ensemble_PartII.ipynb Download Ensemble_PartII.ipynb
  • classification_mnist_pytorch.py Download classification_mnist_pytorch.py
• Variational Auto-Encoders  (Oskar)
  • VAE_Practical.ipynb Download VAE_Practical.ipynb

Have fun!