Template for getting started with automated ML Ops on Azure Machine Learning
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Updated
Jun 21, 2022 - Python
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Template for getting started with automated ML Ops on Azure Machine Learning
API for OpenSanctions with support for entity search and bulk matching of data collections. Supports Reconciliation API spec.
GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.
GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.
GitHub Action that allows you to create or connect to your Azure Machine Learning Workspace.
GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.
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.
The Python SDK for interacting with the Yoti Platform
Azure Machine Learning - MLOps Python SDKv2
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.
Bioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia
This repo demonstrates a bank’s transaction clearing process, utilizing generative AI for real-time fraud detection and AML compliance, enhancing the detection of evolving fraudulent techniques.
[Usenix Security '25] Robustifying ML-powered Network Classifiers with PANTS
Tool for create - Power Play Table PPT to HEX to DSL File, implemented in OpenCore on your Hackintosh
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.
Personal take on GraphDB + AML with AWS Neptune + Glue + Lambda.
A toy project on a Automated Machine Learning technique called linear meta learning
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