This is a modified version of ml4a’s notebook https://github.com/ml4a/ml4a-guides/blob/master/notebooks/image-tsne.ipynb that can parse a custom folder with images to generate a t-SNE
Install PIP requirements with pip install -r requirements.txt.
Add a folder of images, in the assets folder, and edit the folder path: folder = './assets/CUSTOM_DATASET/'
Run the tsne.ipynb notebook to start
