Decoding biological age from face photographs using deep learning.
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Updated
May 29, 2024 - Jupyter Notebook
Decoding biological age from face photographs using deep learning.
This repository is dedicated to small projects and some theoretical material that I used to get into Computer Vision using TensorFlow in a practical and efficient way.
Official Pytorch implementation of "Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation"
The repo of the ANN's class final project in NCU (Toruń, Poland). It is an implementation of the paper "U-Net: Convolutional Networks for Biomedical Image Segmentation".
Monografía presentada para optar al título de Especialista en Analítica y Ciencia de Datos
Click below to checkout the website
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
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
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