Met-AI-Bricks : Meteorological AI Bricks
Project description
MetAIBricks : Meteorological AI Bricks
Status (develop branch)
MetAIBricks is a package that allows you to easily train a neural network, by providing the basic development bricks you may need.
For now MetAIBricks allows you to download files through FTP and HTTP protocols.
Installation
Dependencies
- Python (>= 3.9.7)
- pydantic
- requests
- beautifulsoup4
Note: If you are using a conda environmment, it is recommended to manually install these dependencies through the command conda install
. Else the dependencies will automatically be downloaded during the installation via pip
.
User installation
To install MetAIBricks, simply :
pip install metaibricks
To install the latest development release from MF Nexus:
pip install --index-url http://nexm01-sidev.meteo.fr/repository/pypi-snapshots-metaibricks/simple --trusted-host nexm01-sidev.meteo.fr metaibricks
Documentation
MetAIBricks documentation contains :
Changelog
See the changelog for a history of notable changes to MetAIBricks.
Development
Important links
- Official source code repo: http://gitlab.meteo.fr/deep_learning/ai-lab-tools/met-ai-bricks
- Download releases: https://pypi.org/project/metaibricks/
- Issue tracker: http://gitlab.meteo.fr/deep_learning/ai-lab-tools/met-ai-bricks/-/issues
- Developper documentation
Source code
You can check the latest sources with the command:
git clone http://gitlab.meteo.fr/deep_learning/ai-lab-tools/met-ai-bricks.git
To install the MetAIBricks in dev-mode, checkout the developper installation guide.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for metaibricks-0.2.dev87-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1f364b47a3c09ef681a4a19e21c5dd0cb626c444f02cc8b78b5ba10a0297550f |
|
MD5 | dab76ce00b9f9af939ac08268e27090b |
|
BLAKE2b-256 | d79573b7de45007d10ade2e35e51093ae164a4e55f3151d7b0326299c52d213b |