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konstantinos-p

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A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"

yarn-mistral-flax

An implementation of yarn-mistral-7B in flax. This implementation is based on the pytorch version uploaded to huggingface.

Python

cold_posteriors_pac_bayes

The code for the paper "Cold Posteriors through PAC-Bayes". https://arxiv.org/pdf/2206.11173.pdf

Python

PAC_Bayes_Invariance

Code from the paper "PAC-Bayesian Margin Bounds for convolutional neural networks". https://arxiv.org/pdf/1905.09677.pdf

Python

image_classification_SOTA

This repository aims to understand and implement the state of the art in image classification (as of November 2021) in PyTorch.

Python