One-stop product solution provided by COVID Outbreak Detection Team 06.
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Updated
Mar 5, 2021 - HTML
One-stop product solution provided by COVID Outbreak Detection Team 06.
Malaria Detection Web App.
Deploy deep learning model to Heroku
Iris prediction using Tensorflow
2nd runnerup in UPES student chapter hackathon 2.0 solving the problem statement Optical Character Reading, Tumor Segmentation, Cancer Detection, and Classification
Text generation using RNN
This project is made for the research upon the detection brain tumors from MRI Scans using Deep Learning algorithms
Cotton_pant_disease_prediction_Deep_Learning_with_Flask
flask app to host the models for machine learning classifier models
A web app to classify images uploaded from users.
Capstone project for Deep Learning Systems
Udacity Self-Driving Car Engineer.
A Python 3 app, that accepts animal images and categorises it into a cat or a dog. Then collects feedback about the accuracy of its prediction, which is stored in a PostGreSQL database.
The repository contains three deep learning models created for Kaggle and PASCAL datasets.
A Binary Classifier based on the Cats Vs Dogs dataset served in Flask
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