Monografía presentada para optar al título de Especialista en Analítica y Ciencia de Datos
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Updated
May 29, 2024 - Jupyter Notebook
Monografía presentada para optar al título de Especialista en Analítica y Ciencia de Datos
Biblioteca para manipulação de modelos de Redes Neurais
The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.
A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural networks, with the plan to integrate more.
sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.
This project involves creating a real-time sign language detection system using CNNs to translate sign language gestures into text. It aims to improve communication accessibility for the hearing-impaired by accurately recognizing and displaying sign language gestures from live video input in real-time.
AI-FitnessTrainer using YOLOv8-pose
DL model deployment using docker, API deployment with FastAPI, and MLOps using WandB for overhead-mnist dataset
Quickly detect and classify different species of harmful algae within natural water in real-time with AI and a camera (i.e., ESP32-CAM, smartphone, or webcam).
EVERYTHING YOU NEED FOR DATA SCIENCE.
Exercises on Machine Learning
Apply deeplearning for detecting and warning of driver drowsiness
Enhancing the resolution of human face images using CNN
Code I used for my YouTube videos
This repository serves as a showcase for my data science projects, demonstrating a project on classification on HDPE and PET plastic bottle waste using convolution neural networks
Image classification convolutional neural network, using TensorFlow with an NVIDIA GPU
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