showing various ways to serve Keras based stable diffusion

Implementation of DreamBooth in KerasCV and TensorFlow.

Fine-tuning Stable Diffusion using Keras.

Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.

A Deep Learning application for Malaria Detection

exploring safety techniques with stable diffusion in keras-cv

An object detection pipeline using TensorFlow and KerasCV (RetinaNet) to identify manufacturing defects in jar lids. Features custom data processing and handling of ragged tensors for object detection.

Repository project for 'Applied AI in biomedicine' course attended @ Polimi. Comparison of different CNN architectures for detecting tuberculosis and pneumonia from CRX images.

Using Keras CV pretrained classifiers to detect objects in an Image.

Using Stable Diffusion Models through Keras-cv api to generate images with input prompts.

Experiment repo for learning the keras approach to computer vision by using a random keras dataset and iteratively building out increasingly more powerful experiments.

In my code portfolio, I generally try new techniques and methods in machine learning. I don't like only copying and pasting.