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.

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.

🎮 Big Ball Swallows Small Ball - An addictive arcade game with AI support. Control a demon ball to eat smaller dots while avoiding bigger ones. Features dynamic movement, rainbow effects, and reinforcement learning capabilities. Built with Pygame and PyTorch. 😈 🌈

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

This repository provides a robust and flexible framework for training image classification models using PyTorch. It's designed to be highly customizable and easy to use, allowing you to run experiments with different models, data augmentation techniques, and training configurations.

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 layer selective fine tuning approach

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

Run XTTS within Docker/Podman for voice fine-tuning in Gradio's Web UI

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

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

Educational Selenium RL project: Train AI agents to navigate websites using Q-Learning. Complete implementation with Episode 100 achievement (129.73 reward). Learn reinforcement learning through practical web automation! 🤖🎓

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.

A very simple implementation of the back-propagation algorithm for neural networks training, written in python, from scratch (no-frameworks)

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.

simple IQR & Z-score normalization script

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