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This is an implementation of an adaptive cruise control system based on a computer vision pipeline. This work is based on YOLACT, a State-Of-The-Art real-time instance segmentation network. You're welcome to test and try our code, we hope you'll enjoy this work!
The main goal of an AI-Powered News Summarizer is to assist users in quickly understanding the main points and essential information from a large volume of news articles or textual content. By automatically summarizing news articles, it saves time and effort by providing users with a brief overview without having to read the entire article.
A side project that rates movies using tweets and sentiment analysis, a type of natural language processing. This project includes a GUI for users to easily input movie titles as well as the 5 most popular tweets, 5 most negative tweets, and 5 most positive tweets about the movie. I plan to make this a web application soon.
GPT uses a process called Byte Pair Encoding (BPE) to split input text into smaller units called tokens. Tokens can be whole words, subwords, or even characters. GPT processes and understands inputs in terms of these tokens, not raw text. It maps each token to a numerical ID, which it uses to predict the next token and generate coherent responses.
🩻 UroVision: An AI that helps detect kidney stones in medical images using the YOLOv8n object detection model. Built with Streamlit for an interactive web-based interface, it offers accurate, real-time detection.
Pensado para respaldar mi memoria de titulo (tesis). Los archivos importantes son Model y Server. Software de evaluación de escenarios de ciberseguridad en base a la información externa obtenida de Herramientas OSINT, y posterior visualización. Basado en Python, utiliza herramientas Shodan y Mesa ABM