aml

Rust library for parsing ACPI tables and AML

LAI is an interpreter for AML, the ACPI Machine Language.

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.

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

A tool for managing Aras Innovator installations focusing on improving the import/export experience.

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

3D Passive Face Liveness Detection (Anti-Spoofing). A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

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

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

微软机器学习（Azure Machine Learning）快速入门与实战

The Node SDK for interacting with the Yoti Platform

The PHP SDK for interacting with the Yoti Platform

Client library for communicating with Aras Innovator

Solved programming exercises from the Advanced Machine Learning specialization by National Research University on Coursera.

JavaScript example illustrating how to use the Maritime Chart Service functionality provided by ArcGIS for Maritime: Server.

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.

Hackintosh OpenCore EFI for Gigabyte Z490 Vision-D

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

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

My EFI folder for Ryzen Hackintosh, as known as Ryzentosh.

 The Go SDK for interacting with the Yoti Platform

Converts a ProfiNet GSD file to an AML string or an AMLX package using the AML.Engine.

Metanet Entity Access Management

The Python SDK for interacting with the Yoti Platform

Simple AML Bytecode Interpreter

Intel DevMesh AI Spotlight Award winner. Acute Lymphoblastic Leukemia Detection System 2019 uses Tensorflow 1.4.1 & Neural Compute Stick 1 to provide an intelligent network and diagnosis system. Project by Adam Milton-Barker.

The Ruby SDK for interacting with the Yoti Platform