Implementing Variational Autoencoder in PyTorch

Accelerating PyTorch Deep Learning Training with Automatic Mixed Precision

Optimizing Probabilistic Models with Latent Variables

Insufficient Language Support from Snap Applications on Linux

TensorRT Acceleration for PyTorch Native Eager Mode Quantization Models

TensorRT Python Inference Example

Dealing With CUDA Shared Memory Bank Conflicts Using Swizzling

How Distribution of a Random Variable Changes when the Variable is Transformed in a Deterministic Way

Creating More Reliable Build Systems by Managing Dependency Interfaces

How Distribution of a Random Variable Changes When the Variable is Transformed in a Deterministic Way

Dealing with the Intractable Marginal Likelihood in Bayesian Inference

Optimizing Probabilistic Models with Latent Variables