Data

Tools

Indexes

Applications

Experiments

Open Source Science

https://github.com/augustinmortier/ai-profiles

AI-Profiles

https://github.com/augustinmortier/ai-profiles

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (2.7%) to scientific vocabulary

Keywords

aerosols ceilometer cloud clustering cnn lidar machine-learning
Last synced: 5 months ago · JSON representation

Repository

AI-Profiles

Basic Info
  • Host: GitHub
  • Owner: AugustinMortier
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 372 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
aerosols ceilometer cloud clustering cnn lidar machine-learning
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.md

AI-Profiles

AI toolbox for A-Profiles. The primary goal of this tool is to provide a robust cloud detection.

Autoencoder training

image autoencoder training

Deep Embedded Clustering

image eg: 0-100-20000-0000001-A - 2024/07/02

More information can be found in this presentation.

Owner

  • Name: augustinm
  • Login: AugustinMortier
  • Kind: user
  • Location: Oslo, Norway
  • Company: @metno

GitHub Events

Total
  • Push event: 27
Last Year
  • Push event: 27

Dependencies

poetry.lock pypi
  • absl-py 2.1.0
  • appnope 0.1.4
  • asttokens 2.4.1
  • astunparse 1.6.3
  • certifi 2024.8.30
  • cffi 1.17.1
  • cftime 1.6.4
  • charset-normalizer 3.4.0
  • click 8.1.7
  • colorama 0.4.6
  • comm 0.2.2
  • contourpy 1.3.0
  • cycler 0.12.1
  • debugpy 1.8.6
  • decorator 5.1.1
  • exceptiongroup 1.2.2
  • executing 2.1.0
  • flatbuffers 24.3.25
  • fonttools 4.54.1
  • gast 0.6.0
  • google-pasta 0.2.0
  • grpcio 1.67.1
  • h5py 3.12.1
  • idna 3.10
  • imageio 2.36.0
  • ipykernel 6.29.5
  • ipython 8.27.0
  • ipywidgets 8.1.5
  • jedi 0.19.1
  • joblib 1.4.2
  • jolib 0.0.1
  • jupyter-client 8.6.3
  • jupyter-core 5.7.2
  • jupyterlab-widgets 3.0.13
  • keras 3.6.0
  • kiwisolver 1.4.7
  • lazy-loader 0.4
  • libclang 18.1.1
  • markdown 3.7
  • markdown-it-py 3.0.0
  • markupsafe 3.0.2
  • matplotlib 3.9.2
  • matplotlib-inline 0.1.7
  • mdurl 0.1.2
  • ml-dtypes 0.4.1
  • namex 0.0.8
  • nest-asyncio 1.6.0
  • netcdf4 1.7.1.post2
  • networkx 3.4.2
  • numpy 2.0.2
  • opencv-python 4.10.0.84
  • opt-einsum 3.4.0
  • optree 0.13.0
  • packaging 24.1
  • pandas 2.2.3
  • parso 0.8.4
  • pexpect 4.9.0
  • pillow 10.4.0
  • platformdirs 4.3.6
  • prompt-toolkit 3.0.48
  • protobuf 5.28.3
  • psutil 6.0.0
  • ptyprocess 0.7.0
  • pure-eval 0.2.3
  • pycparser 2.22
  • pygments 2.18.0
  • pyparsing 3.1.4
  • python-dateutil 2.9.0.post0
  • pytz 2024.2
  • pywin32 306
  • pyzmq 26.2.0
  • requests 2.32.3
  • rich 13.8.1
  • scikit-image 0.24.0
  • scikit-learn 1.5.2
  • scipy 1.14.1
  • setuptools 75.3.0
  • shellingham 1.5.4
  • six 1.16.0
  • stack-data 0.6.3
  • tensorboard 2.18.0
  • tensorboard-data-server 0.7.2
  • tensorflow 2.18.0
  • tensorflow-io-gcs-filesystem 0.37.1
  • termcolor 2.5.0
  • threadpoolctl 3.5.0
  • tifffile 2024.9.20
  • tornado 6.4.1
  • traitlets 5.14.3
  • typer 0.12.5
  • typing-extensions 4.12.2
  • tzdata 2024.2
  • urllib3 2.2.3
  • wcwidth 0.2.13
  • werkzeug 3.0.6
  • wheel 0.44.0
  • widgetsnbextension 4.0.13
  • wrapt 1.16.0
  • xarray 2024.9.0
pyproject.toml pypi
  • ipykernel ^6.29.5 develop
  • ipywidgets ^8.1.5
  • jolib ^0.0.1
  • matplotlib ^3.9.2
  • netcdf4 ^1.7.1.post2
  • opencv-python ^4.10.0.84
  • python ^3.10
  • rich ^13.8.1
  • scikit-image ^0.24.0
  • scikit-learn ^1.5.2
  • scipy ^1.14.1
  • tensorflow ^2.18.0
  • typer ^0.12.5
  • xarray ^2024.9.0