Popular GitHub Repositories for Aml

Template for getting started with automated ML Ops on Azure Machine Learning

Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).

GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.

GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.

GitHub Action that allows you to register models to your Azure Machine Learning Workspace.

Tensorflow implementation for the ECCV20 paper "Improving Adversarial Robustness by Enforcing Local and Global Compactness"

Azure Machine Learning - MLOps Python SDKv2

[Usenix Security '25] Robustifying ML-powered Network Classifiers with PANTS

In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation magnitude, we illustrate that MSAP is much more harmful than FGSM in corrupting the recommendation performance of BPR-MF.