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PyTorch implementation of a variational autoencoder (VAE) for use on multi-channel 2D data such as images

Python 8.81% Jupyter Notebook 91.19%
bayesian-inference generative-ai generative-model machine-learning probabilistic-machine-learning vae vae-pytorch variational-autoencoder variational-bayes variational-inference

vae's Introduction

  • 👋 Hi, I’m Tommy Rochussen
  • 👀 I’m a recent graduate in engineering from the University of Cambridge and I'm interested in developing machine learning techniques that provide accurate uncertainty estimates
  • 🌱 I’m currently applying to PhD programmes, and am enjoying reading about and implementing probabilistic machine learning models and algorithms in my spare time
  • 📫 Reach me by emailing rochussentn [at] gmail [dot] com

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