R&D in DL and Bayesian Machine Learning

R&D in DL and Bayesian Machine Learning

1. Bayesian Statistics
2. Gaussian Processes
3. Graph Networks.
4. Deep Generative Models.
    4a. AE
    4b. VAE
    4c VQ-VAE in Pythorch and Tensorflow