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

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.

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.

OSS Connector for AI/ML

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.

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

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

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.

An upgraded version of corkborg's wd14-tagger with multithreading

Ethical AI Powered by Creative Commons

simple IQR & Z-score normalization script

This neural network is designed to be able to take an 20px-by-20px gray-scale image and detect whether the input image contains either a rectangle or a circle.

WebScraper que usa a API do Google Gemini para analisar e catalogar professores da UFABC conforme formação e área de interesse

This project implements an AI that teaches itself to play the game of Nim using Q-learning, a form of reinforcement learning. By playing games against itself, the AI learns optimal strategies for playing Nim, eventually improving its performance by updating a reward table based on game outcomes.

an ai spacecraft trained to land on a diversity of planets

This project aims to predict customer booking behaviors by classifying them into three categories: Booked, Canceled booking, Checked out, and Did not show up.

A Tool for Extracting Images from a Video for Artificial Intelligence Training.

A Python solution utilizing neural networks and deep learning (via TensorFlow & Keras) to classify images as containing dogs or not.