Gabriel Mota's repositories
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Desafios-da-Maratona-Behind-the-Code-2020
:fire: Repositório criado para armazenar os desafios realizados na Maratona Behind the Code 2020!
Antivirus-Game-for-a-Day
Game created during the study of object-oriented computing in the Java language.
Forecasting_models_using_recurrent_neural_networks
This repository contains code for stock and temperature prediction models using RNN implemented in PyTorch.
Image_analysis_for_the-medical_department
It consists of an analysis of x-ray images for the classification of pulmonary diseases in patients.
JavaScript-HTML5-CSS3
Repositório criado para hospedar programas advindos do estudo de JS/HTML5/CSS3.
Learning_transfer_CNN
This repository contains code about the transfer of learning (fine tuning) on the VGG16 network in the MIT dataset:Indoor Scene Recognition.
Object-Oriented-Java
Repositório criado para armazenar programas do estudo de orientação de objetos com a linguagem java.
Programs-C
Repositório criado para hospedar programas provindos do estudo da linguagem C.
Programs-PYTHON
Repositório criado para hospedar programas providos do estudo da linguagem PYTHON.
Classification_multiclass_with_pytorch.
Multiclass classification of the Iris dataset with Pytorch.
Face-Detection-and-Recognition-with-Python
This repository contains codes about face detection and recognition.
Image-classification-using-convolutional-neural-networks
This repository contains image classification projects using CNNs and PyTorch over the datasets: CIFAR10, MNIST, Cats and Dogs, Homer and Bart.
Object_Detection_using_Yolo_Darknet_OpenCv_Python
This repository contains the codes related to the AI Expert Academy course on the subject.
Projeto_visao_computacional
Repositório criado para hospedar o projeto de classificação de visão computacional
Regression_with_neural_networks_and_pytorch
This repository contains regression models implemented using artificial neural networks with pytorch.
A_data_analysis_for_a_bank-s_marketing_department
This analysis consists of identifying the main customers and the best products in relation to a bank's revenue. These analyzes will be passed on to the marketing department for the creation of personalized products for these clients.
Analysis_for_the_sales_department
A prediction analysis of days and sales figures for a given department.
Autoencoders_with_python
This repository contains codes about encoders implemented with python over the MNIST and CIFAR10 datasets.
Binary_classification_using_pytorch
Binary classification of the breast cancer dataset with pytorch.
Data_science_applied_to_the_HR_department
A data analysis in a company, whose objective is to predict which employees would be able to leave the company.
Failure_analysis_for_the_maintenance_department
In this project for the maintenance department, computer vision techniques such as semantic segmentation, detection, and classification were used. The aim of the project is to improve the efficiency of the maintenance process, allowing the maintenance team to identify and solve problems more quickly and accurately.
GANS_with_pytorch
This repository contains codes for generating GANS images on the MNIST and Fashion MNIST datasets.
pattern_recognition_project
This repository contains the comparison project between GNN and MLP networks for pattern classification, using pytorch and tensorflow.
Product_review_analysis
An analysis of people's feedbacks about a certain product, using NLP.
Study_Libs_Python
Lib pandas ans numpy studies.
Style_transfer_with_pytorch
This repository hosts style transfer code implemented with PyTorch over the VGG19 network.