Personal take on GraphDB + AML with AWS Neptune + Glue + Lambda.

A toy project on a Automated Machine Learning technique called linear meta learning

The objective of this project is to explore the integration of blockchain into Anti-Money Laundering(AML) practices. We have used Solidity to create a smart contract to input and update information on the blockchain for the Know Your Customer (KYC) process.

Classification of AML/normal status of patients from flow cytometry

Bioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia

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

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

GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.

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

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

Automatically generate the required OpenCore ACPI patches as well as a template SSDT to proxy re-route method calls

aml infra

New distributional and shape attacks on neural networks that process 3D point cloud data.

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

GitHub Action that allows you to create or connect to your Azure Machine Learning Workspace.

We use machine learning and graph algorithms to analyze the attributes of TRON addresses with the goal of assisting in the tracking of illicit funds.

Code repository for the paper 'Towards Action Model Learning for Player Modeling' by Krishnan, Williams and Martens, published in the Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. Vol. 16. No. 1. 2020.

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.

This repository contains the file codes used to complete the final project for the course Post Genomic Analysis.

Azure Machine Learning - MLOps Python SDKv2