Template for getting started with automated ML Ops on Azure Machine Learning
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Jun 21, 2022 - Python
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aml
Here are 79 public repositories matching this topic...
API for OpenSanctions with support for entity search and bulk matching of data collections. Supports Reconciliation API spec.
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Mar 23, 2026 - Python
GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.
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Oct 19, 2021 - Python
The Python SDK for interacting with the Yoti Platform
python identity sdk login register verification hacktoberfest 2fa aml multifactor-authentication yoti
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Feb 5, 2026 - Python
GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.
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Oct 19, 2021 - Python
GitHub Action that allows you to create or connect to your Azure Machine Learning Workspace.
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Jul 4, 2022 - Python
Data model and processing tools for investigative entity graphs. Used by OpenSanctions, OpenAleph and dozens of other fincrime tools.
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Mar 21, 2026 - Python
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.
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Nov 11, 2022 - Python
GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.
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Oct 19, 2021 - Python
Open-source Politically Exposed Persons (PEP) database covering all 54 African countries. Built for KYC/AML compliance teams. Fuzzy name matching, Neo4j graph relationships, FastAPI, Docker-ready.
python neo4j pep open-data compliance screening africa aml kyc politically-exposed-persons anti-money-laundering fastapi
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Mar 13, 2026 - Python
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.
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Dec 17, 2020 - Python
graphs aml fraud-detection adjacency-matrix network-analytics anti-money-laundering money-laundering smurfing
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Oct 23, 2025 - Python
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.
security collaborative-filtering recommender-system aml adversarial-machine-learning fgsm perturbations msap fast-gradient-sign-attack bayesian-per
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Dec 8, 2022 - Python
A Multi-Agent RAG platform using Vector DBs and AI models to accurately answer AML/CFT compliance queries.
compliance multiagent-systems aml ai-agents rag anti-money-laundering vector-database retrieval-augmented-generation rag-chatbot aml-cft
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Sep 8, 2025 - Python
GitHub Action that allows you to register models to your Azure Machine Learning Workspace.
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Oct 19, 2021 - Python
[Usenix Security '25] Robustifying ML-powered Network Classifiers with PANTS
security machine-learning formal-methods net smt network-security aml robustness adversarial-machine-learning adversarial-examples
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Aug 16, 2025 - Python
Azure Machine Learning - MLOps Python SDKv2
azure cicd aml azure-machine-learning mlops aml-environments aml-computes aml-data-assets aml-pipeline aml-monitoring
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Jul 24, 2023 - Python
Burp Suite Extension for LLM Prompt Injection Testing
security jailbreak injection prompt aiml artificial-intelligence cybersecurity penetration-testing appsec aml ai-security burp-suite llm
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Mar 17, 2026 - Python
Bioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia
bioinformatics microarray microarray-data aml acute-myeloid-leukemia geoparse microarray-data-analysis genetic-expression-omnibus
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May 27, 2021 - Python
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