https://github.com/tudororban/climai

AI model (LSTM) for predicting long-term climate trends
https://github.com/tudororban/climai

climate-science lstm tensorflow

Last synced: about 2 months ago
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AI model (LSTM) for predicting long-term climate trends

• Host: GitHub
• URL: https://github.com/tudororban/climai
• Owner: TudorOrban
• Created: 2024-02-06T13:48:25.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-02-19T10:04:59.000Z (over 2 years ago)
• Last Synced: 2025-02-21T13:43:21.357Z (over 1 year ago)
• Topics: climate-science, lstm, tensorflow
• Language: Python
• Homepage:
• Size: 305 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

          
This repo contains an AI model (LSTM) for prediction of long-term climate trends. It is trained on the [NASA Zonal Annual Means](https://data.giss.nasa.gov/gistemp/tabledata_v3/) dataset.

### Results

![Predictions](screenshots/Trends.png)

![Loss Curve](screenshots/LossCurve.png)

### How to use

1. Ensure you have Python >=3.11.4 and virtualenv installed on your computer.

2. Fetch the project, navigate to the root directory and create a virtual environment: `virtualenv env`

3. Activate the virtual enviroment: `.\venv\Scripts\activate` (Windows), `source venv/bin/activate` (macOS and Linux)

4. Install required dependencies: `pip install -r requirements.txt` and you're ready to run the project.