Streamlit/ HuggingFace visualizer for Machine learning/Deep Learning algorithms
- Using this visualizer, you can compare the input image with the
convolve
output image. - Upload your image
- Select the kernel from a pre-existing list
- or write your kernel of nxn size
- Compare the results between both the processed and unprocessed images.
Link to the code: Github
Link to the visualizer: Streamlit
Defining the dataset size and k value, we can visualize the colour-coded map of the k-nearest neighbour.
- Select the number of classes
- Select the number of data points
- Select the value of K
- Select a range for bias-variance tradeoff