https://github.com/geoscienceaustralia/uncover-ml

Machine Learning system for Geoscience Australia uncover project

Science Score: 36.0%

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

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CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
✓
Committers with academic emails
3 of 32 committers (9.4%) from academic institutions
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Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (16.0%) to scientific vocabulary

Keywords from Contributors

labels

Last synced: 6 months ago · JSON representation

Repository

Machine Learning system for Geoscience Australia uncover project

Basic Info

Host: GitHub
Owner: GeoscienceAustralia
License: apache-2.0
Language: Python
Default Branch: main
Homepage:
Size: 224 MB

Statistics

Stars: 31
Watchers: 17
Forks: 20
Open Issues: 24
Releases: 0

Created about 9 years ago · Last pushed 8 months ago

Metadata Files

Readme Changelog Contributing License Authors

README.rst

==========
uncover ML
==========

.. image:: https://circleci.com/gh/GeoscienceAustralia/uncover-ml/tree/main.svg?style=svg
:target: https://circleci.com/gh/GeoscienceAustralia/uncover-ml/tree/main
:alt: CircleCI

.. image:: https://codecov.io/gh/GeoscienceAustralia/uncover-ml/branch/main/graph/badge.svg
:target: https://codecov.io/gh/GeoscienceAustralia/uncover-ml
:alt: Codecov

Machine learning tools for the Geoscience Australia uncover project.

Quickstart
----------

Before you start, make sure your system has the following packages installed,

- gdal (libgdal-dev)
- openmpi
- hdf5

We strongly recommend using a virtual environment.
To install, simply run ``setup.py``:

.. code:: console

$ python setup.py install

or install with ``pip``:

.. code:: console

$ pip install git+https://github.com/GeoscienceAustralia/uncover-ml.git@release

The python requirements should automatically be built and installed.

Cubist
------

In order to use the cubist regressor, you need to first make sure cubist is
installed. This is easy with our simple installation script, invoke it with:

.. code:: console

$ ./makecubist

Once cubist is installed, it will add a configuration file to the script,
if you like, you can test that it's been installed in the correct place by
checking the contents of `uncover-ml/cubist_config.py`, its presence
indicates that the installation completed successfully.

Next you need to rerun the setup script with:

.. code:: console

$ python setup.py install

Which will ensure the cubist_config has been added successfully. Now you
should be able to use the cubist regressor in the pipeline file.

Running
-------

See the `Documentation ` page.

Running on NCI
--------------
Please see `The PBS Readme `_ .

Collaboration
-------------
This software is jointly developed by NICTA and Geoscience Australia.
For a list of features still to be implemented, see the
`issue tracker `_.

Useful Links
------------

Home Page
http://github.com/GeoscienceAustralia/uncover-ml

Documentation
http://GeoscienceAustralia.github.io/uncover-ml

Issue tracking
https://github.com/GeoscienceAustralia/uncover-ml/issues

Note: We are currently developing a Web UI to interface with the uncoverML code. Will keep everyone posted.

Bugs & Feedback
---------------

For bugs, questions and discussions, please use
`Github Issues `_.

Owner

Name: Geoscience Australia
Login: GeoscienceAustralia
Kind: organization
Location: Canberra, Australia

Website: http://www.ga.gov.au/
Repositories: 333
Profile: https://github.com/GeoscienceAustralia

GitHub Events

Total

Issues event: 1
Watch event: 2
Delete event: 17
Member event: 3
Issue comment event: 12
Push event: 99
Pull request event: 40
Pull request review event: 6
Create event: 14

Last Year

Issues event: 1
Watch event: 2
Delete event: 17
Member event: 3
Issue comment event: 12
Push event: 99
Pull request event: 40
Pull request review event: 6
Create event: 14

Committers

Last synced: 7 months ago

All Time

Total Commits: 1,402
Total Committers: 32
Avg Commits per committer: 43.813
Development Distribution Score (DDS): 0.621

Past Year

Commits: 46
Committers: 6
Avg Commits per committer: 7.667
Development Distribution Score (DDS): 0.196

Top Committers

Name	Email	Commits
sudipta	b**s@g**m	532
Daniel Steinberg	d**g@g**m	224
Lachlan McCalman	l**n@d**u	184
Sudipta Basak	b**1@u**m	107
Lachlan McCalman	l**n@n**u	103
u25867	a**k@g**u	85
Mick Ilovski	m**i@g**u	37
Sudipta Basak	“**s@gm@u**”	30
Saivan Hamama	S**a@d**u	26
Rakib Hassan	r**n@g**u	22
Ante Bilic	s**e@y**m	14
areid	a**d@g**m	6
Aditya Sevak	a**7@g**u	4
dependabot[bot]	4**]@u**m	4
Aditya Sevak	a**7@g**u	3
Niket Chhajed	c**d@g**m	3
EC2 Default User	e**r@i**l	2
Lachlan McCalman	l**n@m**o	2
Aditya Sevak	a**7@g**u	1
Aditya Sevak	a**7@g**u	1
Aditya Sevak	a**7@g**u	1
Aditya Sevak	a**7@g**u	1
Aditya Sevak	a**7@g**u	1
Aditya Sevak	a**7@g**u	1
Aditya Sevak	a**7@o**8	1
Alistair Reid	a**d@n**u	1
Mick Ilovski	m**5@g**u	1
Raquibul Hassan	r**2@r**)	1
TEHREEM HASSAN	t**1@g**u	1
TEHREEM HASSAN	t**1@g**u	1
and 2 more...

Committer Domains (Top 20 + Academic)

ga.gov.au: 3 data61.csiro.au: 3 gadi-login-07.gadi.nci.org.au: 2 gadi-login-03.gadi.nci.org.au: 2 gadi-login-02.gadi.nci.org.au: 2 nicta.com.au: 2 raijin5.(none): 1 ood-vn26.z48: 1 gadi-login-08.gadi.nci.org.au: 1 gadi-login-06.gadi.nci.org.au: 1 gadi-login-04.gadi.nci.org.au: 1 gadi-login-01.gadi.nci.org.au: 1 mccalman.info: 1 ip-172-31-8-28.ap-southeast-2.compute.internal: 1 gadi-login-09.gadi.nci.org.au: 1

Issues and Pull Requests

Last synced: 8 months ago

All Time

Total issues: 52
Total pull requests: 81
Average time to close issues: 6 months
Average time to close pull requests: 7 months
Total issue authors: 8
Total pull request authors: 10
Average comments per issue: 1.83
Average comments per pull request: 0.4
Merged pull requests: 46
Bot issues: 0
Bot pull requests: 18

Past Year

Issues: 0
Pull requests: 24
Average time to close issues: N/A
Average time to close pull requests: about 4 hours
Issue authors: 0
Pull request authors: 3
Average comments per issue: 0
Average comments per pull request: 0.21
Merged pull requests: 13
Bot issues: 0
Bot pull requests: 5

View more stats

Top Authors

Issue Authors

brenmous (33)
bluetyson (8)
rooby (4)
RichardScottOZ (2)
basaks (2)
stevenmcsteven (1)
zhang01GA (1)
lmccalman (1)

Pull Request Authors

mickilovski (18)
dependabot[bot] (18)
RichardScottOZ (15)
bluetyson (14)
brenmous (6)
sheecegardezi (4)
zhang01GA (2)
taleksov (2)
basaks (1)
TehreemGA (1)

Top Labels

Issue Labels

enhancement (26) bug (6) question (6) help wanted (1)

Pull Request Labels

dependencies (18) python (5) enhancement (3)

Packages

Total packages: 1
Total downloads:
- pypi 12 last-month

Total dependent packages: 0
Total dependent repositories: 1
Total versions: 6
Total maintainers: 2

pypi.org: uncover-ml

Machine learning tools for the Geoscience Australia uncover project

Homepage: https://github.com/GeoscienceAustralia/uncover-ml
Documentation: https://uncover-ml.readthedocs.io/
License: Apache Software License 2.0
Latest release: 0.4.0
published over 5 years ago

Versions: 6
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 12 Last month

Rankings

Forks count: 8.5%

Dependent packages count: 10.1%

Stargazers count: 11.1%

Dependent repos count: 21.6%

Average: 26.2%

Downloads: 79.8%

Maintainers (2)

zhang01GA bren

Last synced: 7 months ago

Dependencies

requirements.txt pypi

Cython ==0.29.13
PyKrige ==1.3.0
PyYAML ==5.1.2
affine ==2.3.0
click ==7.0
eli5 ==0.10.1
geopandas ==0.6.3
matplotlib ==3.1.1
mpi4py >=3.0.2
numpy ==1.17.2
pandas ==1.0.5
pillow ==7.1.0
ppretty ==1.3
pyproj ==2.4.1
pyshp ==2.1.0
rasterio ==1.1.0
revrand ==1.0.0
scikit-image ==0.15.0
scikit-learn ==0.22.2
scipy ==1.3.1
seaborn ==0.9.0
simplekml ==1.3.3
xgboost ==0.90

setup.py pypi

environment.yml pypi

Cython ==3.1.1
Jinja2 ==3.1.6
Mako ==1.3.10
MarkupSafe ==3.0.2
PyContracts ==1.7.9
PyKrige ==1.7.0
PyWavelets ==1.2.0
PyYAML ==6.0.2
SQLAlchemy ==2.0.41
affine ==2.4.0
alembic ==1.16.1
attrs ==25.3.0
blosc2 ==2.7.1
boto3 ==1.34.67
botocore ==1.34.162
catboost ==1.0.3
certifi ==2025.4.26
charset-normalizer ==3.4.2
click ==8.2.1
click-plugins ==1.1.1
cligj ==0.7.2
cloudpickle ==3.1.1
cmaes ==0.11.1
colorama ==0.4.6
colorlog ==6.9.0
contourpy ==1.3.2
coverage ==7.8.2
cycler ==0.12.1
decorator ==4.4.2
eli5 ==0.13.0
exceptiongroup ==1.3.0
fiona ==1.10.1
fonttools ==4.58.1
future ==1.0.0
geopandas ==1.0.1
graphviz ==0.20.3
greenlet ==3.2.2
hyperopt ==0.2.5
idna ==3.10
imageio ==2.9.0
iniconfig ==2.1.0
jmespath ==1.0.1
joblib ==1.5.1
kiwisolver ==1.4.8
llvmlite ==0.44.0
matplotlib ==3.10.3
mlens ==0.2.3
msgpack ==1.1.0
narwhals ==1.41.0
ndindex ==1.10.0
networkx ==2.5.1
numba ==0.61.2
numexpr ==2.10.2
nvidia-nccl-cu12 ==2.26.5
optuna ==3.2.0
packaging ==25.0
pandas ==2.2.3
pillow ==11.2.1
plotly ==6.1.2
pluggy ==1.6.0
py-cpuinfo ==9.0.0
pyaml ==25.5.0
pyogrio ==0.11.0
pyparsing ==3.2.3
pyproj ==3.7.1
pyshp ==2.1.0
pytest ==8.3.5
pytest-cov ==6.1.1
python-dateutil ==2.9.0.post0
pytz ==2025.2
rasterio ==1.3.7
requests ==2.32.2
revrand ==1.0.0
s3transfer ==0.10.4
scikit-image ==0.19.1
scikit-learn ==1.2.2
scikit-optimize ==0.9.0
scipy ==1.15.3
seaborn ==0.13.0
shap ==0.45.0
shapely ==2.1.1
slicer ==0.0.7
snuggs ==1.4.7
tables ==3.10.1
tabulate ==0.9.0
threadpoolctl ==3.6.0
tifffile ==2025.5.10
tomli ==2.2.1
tqdm ==4.67.1
typing_extensions ==4.13.2
tzdata ==2025.2
urllib3 ==2.4.0
vecstack ==0.4.0
xgboost ==3.0.2

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Open Source Science

https://github.com/geoscienceaustralia/uncover-ml

Science Score: 36.0%

Keywords from Contributors

Repository

Basic Info

Statistics

Metadata Files

README.rst

Owner

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: uncover-ml

Rankings

Maintainers (2)

Dependencies