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bse-prompt-engineering

Un tutorial integral sobre técnicas de Prompt Engineering para LLMs

colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

data-science

dlib

A toolkit for making real world machine learning and data analysis applications in C++

dlib-face-recognition-delaunay-triangulation

Python project to perform face detection and landmarks recognition using dlib plus delaunay triangulation using OpenCV

dvc-hello-world

A simple Hello World project for DVC

idatha-data-science-course

idatha-utec-ai-masterclass

IDATHA - UTEC: AI Masterclass

learnopencv

Learn OpenCV : C++ and Python Examples

mcdaa-intro-cd

Repositorio del Curso Introduccion a Ciencia de Datos de la Maestria en Ciencia de Datos y Aprendizaje Automatico

mongodb-courses

This repository contains notes, code snippets, information and all kind of resources related to MongoDB University courses.

neuralet

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

opencv-text-recognition

OpenCV text recognition using Tesseract

perseo-fe

Front End process for the Perseo CEP

pocs

Proof of concept mini projects

prompt-engineering-101

qiskit-tutorials

A collection of Jupyter notebooks from the community and qiskit developers showing how to use Qiskit

rrap

Routers Reconfigurables de Altas Prestaciones (RRAP) es un proyecto de grado de la carrera de Ingeniería en Computación de la Facultad de Ingeniería, Universidad de la República. El mismo tiene como objetivo el diseño y la construcción de un prototipo de Router opensource de altas prestaciones basado en la tecnología NetFPGA, y utilizando el enfoque de Redes Definidas por Software (SDN).

simple-python-pyinstaller-app

For an introductory tutorial on how to use Jenkins to build a simple Python application with PyInstaller.

udelar-tprog

Examples for teaching in Taller de Programación course at UELAR

werkzeug

A flexible WSGI implementation and toolkit

workshop-categorizacion-productos

Practical content for Products Categorization with Deep Learning Workshop