Code implementation for the paper 'Conditional Gaussian PAC-Bayes'.

Overview

CondGauss

This repository contains PyTorch code for the paper Stochastic Gaussian PAC-Bayes.

A novel PAC-Bayesian training method is implemented.

There are a few examples of how to run the code in the main.py script.

For any question, feel free to contact me.

Pytorch Performace Tuning, WandB, AMP, Multi-GPU, TensorRT, Triton

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