Experiments around SVM and autoencoders done as part of my undergraduate research project at the University of Sao Paulo.
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Updated
Nov 10, 2018 - Python
Experiments around SVM and autoencoders done as part of my undergraduate research project at the University of Sao Paulo.
A data set containing handwritten digits has been processed by clustering, using PCA as well as K-means. But the visualization of the data as a scatter plot can only be done using PCA.
Image classification (https://picnic.devpost.com)
Translation of sparse filtering algorithm into python.
Personal - DS BEW - A simple web app that can identify if the image you uploaded is a mug or not.
Artificial Intelligence-based image recognition system for C2C marketplaces
Potholes detection app for academic course. Built with openCV and Kivy.
Neural Network to classify Road Signs based on their images
Waste detector and classifier for paperboard and plastic
Recognize an image and the objects in it using ImageAi library.
Project for lecture 5 Neural Networks to "Artificial Intelligence with Python" Harvard course
A deep learning neural network (CNN) built from scratch that identifies the breed of a dog from its image. It can distinguish between 120 dog breeds. Achieved a training accuracy of ~98%.
Django Rest Framework to compare images and create relations
Detecting the location and native language of a place from an image
Tunisian coins recognition using Tensorflow
Used convolutional neural networks to create an algorithm that identifies objects in paintings.
FER(Facial Expression Recognition) backend
A object recognition model created to identify four tropical fruits. Our final undergrad project.
Machine Learning program to classify set of images
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