Lucas Nastari Ziza's Projects
This code is a implementation of a A.I algorithm (A star) to solve the 8 puzzle game
This Repository provides a study to action patterns recognition with unsupervised learning and pose estimation in 4D
Essa é uma análise utilizando um modelo de regressão com aprendizado de máquin, chamado Random Forest. O objetivo do projeto é encontrar uma função que se assemelhe ao cálculo do investimento previsto em leilões de energia feitos pela ANEEL
Applying autoencoders in mnist digits dataset
This project explore a custom training on Bert model to solve a pratical natural language problem in indian questions dataset
This research propose machine learning and deep algorithms to estimate weight and fat percentage using faces images
[ISBI 2024] Official Pytorch Code base for "CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion"
Train object detector models to identify drowsiness on drivers
Fatigue Driver Analisys using Machine and Deep Learning
System to detect fall and fires in home enviromment to help elderly living people
The objective of this repository is to explore the architecture, efficiency, and applications of Generative Adversarial Networks (GANs).
The project was made using the Kaggle platform, focusing on leveraging the Gemma model to train AI assistants capable of solving Python code-related questions.
This notebook contain some machine learning models to detect malware, phishing and defacement based on their URL name
Development of a system for defect detection in printed circuits boards using neural networks. This project is a technological initiation, financially supported by CNPq and developed at UNICAMP(FT)
Determine if two products are the same by their images
The "Siamese Neural Network for Mask Recognition" project aims to develop an advanced deep learning model capable of accurately identifying individuals wearing masks. With the rise of global health concerns and the widespread use of face masks, this project addresses the need for efficient and reliable mask detection systems.
Unet pytorch on Custom dataset