Discover @viritaromero Open Source projects

Viridiana Romero (@viritaromero)

viritaromero

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Registered about 7 years ago
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Location 🇺🇸 United States
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605

Plant-diseases-classifier

Artificial Intelligence app that detects diseases in plants using a deep learning model

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Breast-Cancer-Detection

AI app to detect breast cancer in histopathological database

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Detecting-Depression-in-Tweets

Detecting Depression in Tweets using Baye's Theorem

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Detecting-Brain-Hemorrhage-in-Computed-Tomography-CT-imaging

Computer Vision Model in PyTorch that detects Brain Hemorrhage in Computed Tomography (CT) imaging

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Distracted-Driver-Detection

CNN model that detects distracted drivers on the road

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Mexican-Food-Classifier

Image Classifier for typical mexican food

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Detecting-Pneumonia-in-Chest-X-Rays

A Computer Vision model made in PyTorch that detects Pneumonia in Chest X-Rays

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Plant-Diseases-Detector-Web-App

Computer Vision Model created in FastAi to detect diseases in plants and Web App made in Render

Chatbot-created-with-Pytorch-and-Sequence-To-Sequence-model

AI ChatBot created with Pytorch and a Sequence-To-Sequence-Model. Used two RNN and trained the model with the Cornell dataset.

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Detecting-Emotions-in-Children-Drawings

Detecting Emotions in children drawings using a Convolutional Neural Network

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Sentiment-Analysis-using-a-CNN

Sentiment Analysis using a Convolutional Neural Network

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Colorectal-Cancer-Detection

Detecting Colorectal Cancer with Deep Learning techniques

Face-Similarity-and-Profile-Generator

Face Similarity using Siamese Neural Networks model and dating app profiles generator using a Character-To-Character RNN

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Predicting-Bikesharing-rentals-Per-Hour

Used XGBoost and SKlearn models to predict bikesharing rentals Per Hour

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Spam-Detection

Spam Classifier using Python

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Data-Analysis-and-Visualization-in-Austin-B-Cycle-Bikes-Sharing-Program-Data

Analyzing Bikes Sharing Programa Dataset

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Colon-anomalies-classification

Detecting anomalies in colon histology images

Character-Level-LSTM-in-Pytorch

Implemented a character-level RNN. That will learn from some text one character at a time, then generate new text one character at a time. I used a recopilation of fairy tales

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Monkey-Classification

Monkey Classification

Flower-Classifier

Artificial Intelligence that classifies different species of flowers

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Customer-Transaction-Prediction

Model created with XGBoost that identify which customers will make a specific transaction in the future

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face-recognition-in-a-football-game

Face detection using a face recognition library. Built using dlib’s state-of-the-art face recognition

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covid19_detector

Covid-19 x-ray images classifier

Object-Detection-in-Image

Object detection in image using pre-trained model resnet50

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