Build a beautiful Home Assistant dashboard easily

An environmental monitoring and regulation system

A strategy to automatically generate a dashboard using mushroom cards

🍄📑 Filesystem and git-based wiki engine for the independent web written in Go and using Mycomarkup as its primary markup language.

TrashCard - indicates what type of trash will be picked up next based on your calendar entries 🗑️

Additional themes for Lovelace Mushroom Cards 🍄

A minimalistic Mushroom-based dashboard for Home Assistant, adaptive for mobile and tablet/desktop and for light and dark mode.

WeMush Open Labeling Standard

:mushroom: Chat bot for recognizing edible mushrooms.

a collection of awesome mushroom user cards for the lovelace-mushroom

Keep track of your mushroom cultivation projects

Bookbased mushroom data set, describing physical characteristics, binary classification in poisonous or edible.

3D pose estimation of mushrooms from pointcloud - trained on synthetic data

Cultivare - cultivation and breeding mushroom software

A simple mycelium/hyphae growth simulation written in Rust

Home Assistant UV Index Card – A professional Lovelace card displaying the real-time UV Index with WHO-based protection recommendations. Uses Mushroom Cards for a clean, modern look.

An R package for enhancing the utility of fungarium collections and community science observations in ecological analyses of fungi.

mushrooms_firmware contains the firmware of an arduino-based project to handle autopmatically environments in which mushrooms grow.

No description provided.

Predicting if a mushroom is edible or poisonous with a shallow neural network with Keras and TensorFlow 2.

A purple mushroom fantasy theme with both light and dark themes.

MeteoShrooms calculates key metrics to predict mushroom occurences with MeteoSwiss OGD and visualize them on a dashboard with a map.

A custom integration for Home Assistant to show real-time pollen count data, helping allergy sufferers track pollen levels easily.

:mushroom: | Projeto de uma Estufa de cogumelos Shimeji para a Escola Sathya Say desenvolvido pela Empresa Júnior Physis Jr.

mushroom management software

Hardware of MM5D growing house controlling and remote monitoring device

Bioluminescent ASCII mushrooms for your terminal

Mushroom identification using deep learning.

Interactive ML web application will allow users to choose classification algorithm, let them interactively set hyper-parameter values, and Input Image.

This project was the result of a Capstone Project run through Massey University. It is a webapp designed using NuxtJS to easily identify the different variety of mushrooms and fungi that grow in Aotearoa New Zealand.