forecastVeg

JohnNay

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

artificial-intelligence

View on GitHub Website

35 Stars

16 Forks

35 Watchers

Python Language

other License

Cost to Build

$262.4K

Market Value

$360.2K

How is this calculated?

Growth over time

1 data points · 2021-08-07 → 2021-08-07

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about forecastVeg

Question copied to clipboard

What is the JohnNay/forecastVeg GitHub project? Description: "A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone forecastVeg

Clone via HTTPS

git clone https://github.com/JohnNay/forecastVeg.git

Clone via SSH

[email protected]:JohnNay/forecastVeg.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the forecastVeg issue tracker:

Open GitHub Issues

Similar to forecastVeg

deeplearning4j machine-learning-for-software-engineers incubator-mxnet spaCy cheatsheets-ai gun php-ml TensorLayer awesome-artificial-intelligence AlgoWiki papers-I-read kong EmojiIntelligence PyGame-Learning-Environment deep-trading-agent caffe2 AirSim pipeline diffbot-php-client mycroft-core iOS_ML warriorjs nd4j incubator-kie-optaplanner ML-for-High-Schoolers Dragonfire auto_ml gophernotes deeplearning4j-examples DeepPavlov