Flower: A Friendly Federated Learning Framework
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Updated
Sep 5, 2024 - Python
Flower: A Friendly Federated Learning 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
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.
Develop Beautiful Flowers Using only HTML, CSS and JS
Experiments on MNIST dataset and federated training using Flower framework
🏠 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
Guohua: Traditional Chinese painting, Landscape painting flower & bird painting
An APP for identify flowers in Hong Kong with Deep Learning technology
This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"
Source Code of Project Image Classification with PyTorch 🔥
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