Anton Georgescu's Projects
2AID is an acronym for Alvianda Artificial Intelligence Dashboard. It is a reusable and extensible machine learning framework that uses a set of popular algorithms to train models and enable predictions with a certain level of confidence. This framework is configurable and requires a minimal level of customization.
TrxBlockchainLib is a .NET Core (C#) library that implements a Blockchain Transaction Ledger, with payer/receiver accounts. It is a practical example of creating a blockchain local ledger, that can be extended with light weight changes to a distributed ledger.
Alvianda Data Science Lab
An example of implementation using Sql Server ServiceBroker to create a multi-topic/multi-consumer message hub
Example of Angular SPA application where the user is authenticated through Azure Active Directory and the application makes use of Azure Functions.
Integration between onprem NLog and AppInsights (LogAnalytics) or AppDynamics
Two examples of Azure Data Warehouse solutions, one using Azure Sql Server with Azure Blob Storage and the other one using Azure Synapse.
A set of code samples that implement the collection of data changes into an ISAM dataset managed by COBOL programs. This mechanism is called "data delta hooks"
Data science technologies and samples
Describes a few ways of debugging Blazor WASM applications
Example of Sql Server column level encryption by using Express-Node stack
Local OpenID token provider, hosted in file system, and attachable to any .NET Core (3.1) Web API solution
Fuzzy Pug Cup - Online Chess Tournament
test repository demonstrating the bug
A collection of useful .gitignore templates
Greenstocks Investment Advisor (GIA) is an online application powered by machine learning algorithms, that facilitates reliable stock market investments in companies that implement a high Environmental, Social and Governance (ESG) policy
Finastra Hackathon 2021
Test leaking records in a data flow with multiple nodes
Mock solution for Azure Active Directory identity management needs
Python code samples covering image and pdf files processing
Apply predictive models to the huge amounts of textual information stored in various log files attached to various applications, components and tools. In order to achieve that we can either use various models, either linear regression based (and hence applicable to time series based events) or categorical (with applicability to event classification.) The proposed solution, title Intelligent Configuration and Operations Monitoring (iCOM) is using a few popular classification algorithms, powering models with supervised training
Integrate Kentico with Azure Active Directory. Forked github repository @ https://github.com/kate-orlova/azure-ad-auth-in-kentico
A basic photo manager that organizes automatically your photos
A Jekyll plugin that Liquid parses the input.
A set of presentations supported by code samples done for tutoring an external team of African startups in machine learning technologies and techniques
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Portfolio Theory, Options Theory, & Quant Finance