CIFAR10 KNearest-Neighbors

A simple KNN classifier implementation with L1 distance metric

Requirements

1. dask (faster version of numpy).
   

Alternatively, if you have a GPU, use cupy library for faster computation

Steps to run

1. Download and extract CIFAR10 dataset (python version) from https://www.cs.toronto.edu/~kriz/cifar.html to the project folder.
   
2. change the value of K in the nearest_neighbor.py file if required. The default is set to 1.
   
3. Run nearest_neighbor.py