Showing 61-80 of 433 projects
An AI-powered image super-resolution library that enhances low-quality images using deep learning techniques.
This Python library provides a dictionary for brute-force attacks, a common technique used in cybersecurity.
This book provides insights into interpretable machine learning techniques for developers.
A collection of tips and techniques for bug bounty hunting and security research.
A comprehensive platform for learning, simulating, and live trading of stocks using AI and ML techniques.
A comprehensive guide to start and improve in machine learning and AI, covering the latest techniques and tools.
This is a repository for the Udacity Deep Reinforcement Learning Nanodegree program, focusing on deep reinforcement learning algorithms and techniques.
Plugin for Stable Diffusion WebUI that optimizes large image generation through tiled diffusion and VAE techniques.
A simple and visually-pleasing Pomodoro timer built with Vue.js and Electron
Comprehensive machine learning repository with 30+ notebooks covering various ML concepts and techniques.
A Rust library for estimating system performance using first-principles techniques and numbers.
Analysis of bot protection systems and techniques to bypass browser fingerprinting for web scraping.
A comprehensive cheatsheet for React Native styling, covering flexbox and other common styling techniques.
A model for tracking any point (pixel) on a video using optical-flow and point-tracking techniques.
An open-source framework for prompt-learning, a powerful technique for fine-tuning language models.
This repository provides a collection of tools and techniques for attacking and defending Active Directory using modern adversary tradecraft.
A TypeScript-based Pomodoro timer and productivity app to help developers stay focused and take breaks.
A JavaScript library that produces persistent, respawning "super" cookies in a browser, used for user identification.
Hands-on guide for reinforcement learning, a key technique in AI and ML-powered coding tools.
A toolkit for automated causal inference and econometric analysis, combining machine learning and econometrics.
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