A Django application developped for classification of a diabetes complication that affects eyes
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Updated
Jul 21, 2024 - Python
Iris is a free, open source, cross platform backend web framework intended for the development of modern web applications.
A Django application developped for classification of a diabetes complication that affects eyes
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
Generating Structured Local Area Model (SLAM) grids from unstructured meshes
Iris python first experience django template
Iris python first experience flask template
Iris python first experience with fastapi
Official implementation of the pupillometry system called PupilSense proposed in the article "PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild".
📃🎉 Additional datasets for tensorflow.keras
A Platform for Retrieval Augmented Generation (RAG) for Question-Answering of E-Mails
The aim of this project is to develop a biometric system for identifying individuals using the iris allowing, through a graphical interface, to introduce an iris image and to display, after the processing steps, the identity of the person identified in the database.
The "IRIS Flower Classification" GitHub repository is a project dedicated to classifying iris flowers based on their attributes.
Perceptron na classificação da base de dados Iris
An application made from Flask that connects a machine learning model for the Iris toy dataset to a web interface.
IFPaaS - Iris Flower Prediction as a Service. An implementation of a machine learning microservice and its deployment to the cloud using: Python, Flask, Sklearn, Docker, CloudFormation, ECS, Fargate, Pytest, Travis CI, RESTPlus and Gunicorn.
Our goal with this ML pipeline template is to create a user friendly utility to drastically speed up the development and implementation of a machine learning model for all sorts of various problems.
Created by Gerasimos Maropoulos
Released March 2016
Latest release 3 months ago