PyTorch implementation of CLIP Maximum Mean Discrepancy (CMMD) for evaluating image generation models.

In this repo , i have implemented a tiny gpt model (including attention layer , decoder blocks) from scratch.

predictive diagnosis one line away

Disease detection from textual description. We created a dataset containing 24 disease and 50 manually written descriptions of the symptoms (in english) for each disease.

This model classifies between clean room and messy room .

classifies between red , yellow , green traffic lights