Vertical Slice Architecture solution template in .NET 8

Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures

Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication betwee…

Rohde & Schwarz SCPI Driver (in Python)

Golang RADIUS library with server/client support

Holographic Reduced Representations

Domain-Agnostic Supervised Learning with Hyperdimensional Computing

Video streaming web application [VSA], through HLS, using AES-128 encryption

Thesis project on the development of a framework for Value-Set Analysis

a basic VSA sample in c#

Bi: Symbolic system based on binary vector architecture

"VSA, Analogy, and Dynamic Similarity" presentation given at the Workshop on Developments in Hyperdimensional Computing and Vector Symbolic Architectures, Heidelberg, Germany, 2020-03-16.

An extended note on using Vector Symbolic Architectures to implement Next Generation Reservoir Computing

Publications by Peter Overmann

This project aims to develop a very basic Vector Symbolic Architecture model to use as a default model in my other VSA projects.

Keynote presentation for the Midnight Sun Workshop on Vector Symbolic Architectures

WORK IN PROGRESS: Python bindings/functions to interact with Kaseya VSA's REST API

Official Evader game website. Hosted with github pages. NOT THE ACTUAL GAME.

This project demonstrates a Minimal API implementation following the Vertical Slice Architecture (VSA) and CQRS (Command Query Responsibility Segregation) pattern. It includes features such as validation using FluentValidation, caching with IMemoryCache, and a Global Exception Handler to provide a clean, scalable, and maintainable API structure.