Flower: A Friendly Federated AI Framework
-
Updated
Dec 24, 2024 - Python
Flower: A Friendly Federated AI Framework
Full stack, modern web application generator. Using FastAPI, MongoDB as database, Docker, automatic HTTPS and more.
Clearly see and debug your celery cluster in real time!
FastAPI - Tortoise ORM - Celery - Docker template
🌳 Explore Trees in Singapore 🇸🇬
HeFlwr: Federated Learning for Heterogeneous Devices
Develop Beautiful Flowers Using only HTML, CSS and JS
Repository for Docker Image of Apache-Superset. [Docker Image: https://hub.docker.com/r/abhioncbr/docker-superset]
JavaScript Framework for Flower Shapes and Animation extended CreateJS on HTML5 Canvas.
🏠 A web application written in FastAPI and a console application for scraping and parsing data enabling the collection of offers for apartments, houses and other premises for both rent and purchase
Experiments on MNIST dataset and federated training using Flower framework
An APP for identify flowers in Hong Kong with Deep Learning technology
Guohua: Traditional Chinese painting, Landscape painting flower & bird painting
This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"
Source Code of Project Image Classification with PyTorch 🔥
Add a description, image, and links to the flower topic page so that developers can more easily learn about it.
To associate your repository with the flower topic, visit your repo's landing page and select "manage topics."