Fine-Tuning and Pruning of Large Language Models Using Low-Rank Adaptation

Scoring Neural Network Parameter Importance Faster

Implementing Variational Autoencoder in PyTorch

Accelerating PyTorch Deep Learning Training with Automatic Mixed Precision

TensorRT Acceleration for PyTorch Native Eager Mode Quantization Models

TensorRT Python Inference Example

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

How To Unit Test Quantization Implementation

Easier PyTorch to TensorRT Custom Plugin Integration

First Principles of Evaluating Deep Learning Inference

Numerical Errors are Evil

Attention with Learned Spatial Feature Sampling