This repository contains the Jupyter notebook exercises for the course AI4MDs which is a part of ai-for-doctors

Refer to the colab_setup for running the notebooks on Google Colaboratory.

More information and additional material can be found here Summary of Tutorials

• Week 1

  • Exercise 1: Introduction to Python - Part 1
  • Solution

• Week 2

  • Exercise 2: Introduction to Python - Part 2
  • Solution

• Week 3

  • Exercise 3: Data Visualization and Analysis
  • Solution
  • Bonus

• Week 4

  • Lecture 4: Convolutions
  • Exercise 4: Convolutions
  • Solution

• Week 5

  • Exercise 5.1: Object Oriented Programming
  • Exercise 5.2: Pytorch Datasets
  • Solution 5.1
  • Solution 5.2

• Week 6

  • Exercise 6: Transformations and Dataloader
  • Exercise 6.1: Confusing pretrained Network with Transformations
  • Solution 6
  • Solution 6.1

• Week 7

  • Exercise 7: Network Setup and First Training
  • Solution 7

• Week 8

  • Exercise 8: Training Neural Networks
  • Solution

• Week 9

  • Exercise 9 Inference: HAM10k inference
  • Exercise 9 Bonus: Generative Adversarial Networks
  • Exercise 9 Bonus: Best Practices and 3D Unet Segmentation of Hippocampus