Probabilistic Deep Learning

Code for various probabilistic deep learning models I am learning. The repository contains lessons, links, notebook demo and template code for future use.

• Probabilistic Deep Learning
  • Bayesian Deep Learning
  • Deep Probabilistic Models
  • Advanced Approximate Inference
  • Advanced Generative Modeling
    • Variational Autoencoders
    • Normalizing Flows
    • Energy Based Models
    • Score Matching & Diffusion Generative Models
  • Sampling & Gradient Approximations
  • Geometric Deep Learning
  • Physics Inspired Neural Networks (PINNs)

Bayesian Deep Learning

Deep Probabilistic Models

Advanced Approximate Inference

Advanced Generative Modeling

Variational Autoencoders

Normalizing Flows

Energy Based Models

Score Matching & Diffusion Generative Models

Sampling & Gradient Approximations

Geometric Deep Learning

Physics Inspired Neural Networks (PINNs)