Implementation of basic machine learning algorithms.
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Updated
Sep 27, 2018 - Python
Implementation of basic machine learning algorithms.
Text , Human Pose , Vehicle detector using pre trained models of openvino toolkit
Inferfuzzy es un biblioteca de Python para implementar Sistemas de Inferencia Difusa
Fully asynchronous telegram bot for age and gender recognition based on aiogram and OpenVINO™
Programa en Python para manejar y crear imagenes con Stable Diffusion Corriendo En GPU AMD.
an Expert System in Egyption divorce law
What Happen Next ? Live Inference
Motor de inferencia hecho en SQL Server con capa de exposición en C# y un sitio de generación y consumo de reglas de ejemplo.
Latte is a convolutional neural network (CNN) inference engine written in C++ and uses AVX to vectorize operations. The engine runs on Windows 10, Linux and macOS Sierra.
Learning LTL formulae from finite system traces.
Run OpenVino models on various device on IntelDev cloud and find out the best possible devices for each scenario.
Very simple propositional logic knowledge base implementations. Includes language integration features.
A simple inference engine, server, and chatbot for GPT-NeoX models
DaisyKit examples for Android
Three real-world scenarios given to analyze and optimize their queuing systems. This project demonstrates how to identify the appropriate Intel Hardware types that will work best for the manufacturing, and retail, and transportation scenarios. This application uses Intel DevCloud.
Mokka is a minimal Inference Engine for Dense Layer Neural Networks. Written on a single C# header, it uses AVX2
trying to write a mini triton backend in rust
Filling in the missing gaps with langchain, and creating OO wrappers to simplify some workloads.
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