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PAMI_Contrastive_Learning

Project Repository for Praktikum Pattern Analysis and Machine Intelligence

This repository contains following files:

Division of Tasks.xlsx -> overview about what was worked on by whom
PAMI_ContrastiveLearning_Pavlinec_Zarbock_Hammer_Zeilmann.ipynb -> Notebook created in Google Colab
PAMI_ContrastiveLearning_Pavlinec_Zarbock_Hammer_Zeilmann.pdf -> paper about our project/code
Presentation Contrastive Learning - Hammer, Pavlinec, Zarbock, Zeilmann.pdf -> presentation about our project/code
Result Documentation.xlsx -> Documentation of our results from running the notebook with different parameters
pami_contrastivelearning_pavlinec_zarbock_hammer_zeilmann.py -> Plain Python file from notebook created in Google Colab

Running the code:

  1. Import/Run the notebook in Google Colab or in your preferred environment
  2. Every cell should be run once, except for cells specific to the dataset/type of training is desired