Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Fast ML inference & training for ONNX models in Rust

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)

Easily download all of your favorite Naughty images from multiple sites.

This is a dataset intended to train a LLM model for a completely CVE focused input and output.

Client library to interact with various APIs used within Philips in a simple and uniform way

LoRAdo is a UI that allows easy creation of LoRAs for stable diffussion

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

Master the essential steps of pretraining large language models (LLMs). Learn to create high-quality datasets, configure model architectures, execute training runs, and assess model performance for efficient and effective LLM pretraining.

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 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.

Sammlung von Paraphrasen zu platonischen Textstellen

A machine learning project that I worked on in Summer 2019 during my internship where I used MATLAB to train AlexNet to perform facial recognition in real-time to identify people. This was my first time using MATLAB.

A step-by-step walkthrough of the inner workings of a simple neural network. The goal is to demystify the calculations behind neural networks by breaking them down into understandable components, including forward propagation, backpropagation, gradient calculations, and parameter updates.

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

Python tool for capturing and logging human-computer interactions. Generate rich datasets for training multi-modal LLMs in autonomous computer control. Features screenshot, mouse, keyboard, and audio recording.

A tool for generating diverse synthetic training images using Bing Image Creator to facilitate the training of AI/ML image models.

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.