AI4Climate: Collection of Machine Learning Tasks and Datasets for Tackling Climate Change
Overview
Getting started
All datasets are provided on Hugging Face Hub and ready to be downloaded and
parsed into our standardized data format with training, validation and testing
splits using our ai4climate Python package. Install package:
pip install ai4climate
For example, load the "train_small_test_medium" task from the "OPFData" dataset:
from ai4climate import load
dataset = load(
task_name='OPFData',
subtask_name='train_small_test_medium',
root_path='~/AI4Climate/'
)
Run main experiments as specified in config.yml with:
python src/main.py
List of available datasets
1 maintainer
Metadata
1 maintainer
Release files for ai4climate 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ai4climate-0.0.4.tar.gz | 27.9 kB | Without provenance | Details for ai4climate-0.0.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ai4climate-0.0.4-py3-none-any.whl | Python 3 | none | any | Details for ai4climate-0.0.4-py3-none-any.whl |
Total release size: 58.6 kB
Release files / ai4climate-0.0.4.tar.gz
| Download URL | ai4climate-0.0.4.tar.gz |
|---|---|
| Size | 27.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / ai4climate-0.0.4-py3-none-any.whl
| Download URL | ai4climate-0.0.4-py3-none-any.whl |
|---|---|
| Size | 30.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.6
|
Security for ai4climate 0.0.4
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