incorporate Principal Component Analysis (PCA) into the latent code of a VQ-VAE (Vector Quantized Variational Autoencoder) using keras.

I am looking for a freelancer to incorporate Principal Component Analysis (PCA) into the latent code of a Vector Quantized Variational Autoencoder (VQ-VAE) using Keras. The primary purpose of incorporating PCA into the VQ-VAE is to improve the model performance. I will provide the dataset for this project. The preferred programming language for this project is Python. Ideal skills and experience for this job include expertise in Keras, PCA, and VQ-VAE.