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Lucas Nastari Ziza photo

nastarii Goto Github PK

followers: 2.0 following: 3.0 repos: 26.0 gists: 0.0

Name: Lucas Nastari Ziza

Type: User

Company: Software Developer Intern | Student at UNICAMP

Bio: I'm a Software Developer Intern dedicated to exploring the vast possibilities of AI and leveraging it to solve complex problems.

Location: São Paulo

Lucas Nastari Ziza's Projects

action-patterns-recognition icon action-patterns-recognition

This Repository provides a study to action patterns recognition with unsupervised learning and pose estimation in 4D

aneel-dataset-analisys icon aneel-dataset-analisys

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

bert-nlp-model icon bert-nlp-model

This project explore a custom training on Bert model to solve a pratical natural language problem in indian questions dataset

cmunext icon cmunext

[ISBI 2024] Official Pytorch Code base for "CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion"

gan-networks icon gan-networks

The objective of this repository is to explore the architecture, efficiency, and applications of Generative Adversarial Networks (GANs).

gemma-with-stackoverflow icon gemma-with-stackoverflow

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.

malicious-url-detection icon malicious-url-detection

This notebook contain some machine learning models to detect malware, phishing and defacement based on their URL name

pcb-defect-detection icon pcb-defect-detection

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)

siamese-neural-network icon siamese-neural-network

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.

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