Data-Selection

Things to keep in mind

• Always look at the open issues
• Make sure to add comments before pushing
• Use variable name that make sense
• Open Pull Requests everytime you push

Plan for Week (1/8 - 1/15):

• ResNet and FAISS : convert the image dataset, into vectors and build the FAISS Index over that

  • (Jiwon & Rosie)
  • Dataset (CIFAR-10) : https://www.cs.toronto.edu/~kriz/cifar.html
  • Download the dataset to /localdisk3/ on node 2x16a
  • Go through ResNet Code : https://github.com/KaimingHe/deep-residual-networks
  • Download the code and convert the CIFAR-10 images to vector embeddings
  • Load the vector embeddings into a FAISS Index build on the GPU
  • FAISS Index code can be found here : https://github.com/DataIntelligenceCrew/koios-semantic-search

• Algorithm and Complexity Analysis : pseudocode for the algorithm and complexity analysis

  • (Pranay)
  • Write out the algorithm