ai-training

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

oneAPI Data Analytics Library (oneDAL)

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

oneAPI Collective Communications Library (oneCCL)

Client library to interact with various HSDP APIs in a simple and uniform way

A collection of 42 students' Core War Champions for AI training purposes

Sammlung von Paraphrasen zu platonischen Textstellen

An "AI-on-device" project walks with you through all necessary steps, from collecting your own data, creating and training your own Tensorflow model, generating your own Tensorflow-lite model, developing both Python and C++ programs to recognize images on Raspberry Pi 3.

A pre-configured instant-ngp workspace that includes helpful scripts for getting started with NeRF training.

A private internship coding project that I worked on in the Summer of 2019 where I did some MATLAB facial recognition stuff. Utilizes machine learning/facial recognition to identify people. This was my first time using MATLAB.

A tool to extract plain (unformatted) multilingual text, redirects, links and categories from wikipedia backups (dumps). Designed to prepare clean training data for AI training / Machine Learning software.

An app that implements labeled data management that can be used to train a new AI

An "AI on-device" project for sequence model. Based at Tensorflow Lite for micro-controller, the model is created/trained/converted/flashed. At the end, an app is able to run, at SparkFun Edge Dev board, to recongnize speech although just words.