Repository for Machine Learning in Geotechnics
This is the beginning of an exciting effort in lowering the barrier of entry to Machine Learning for Geoprofessionals by:
- Distributing relevant and interesting toy datasets to practice with (now)
- Offering tools that can make applying ML easier, especially for beginners (soon)
TRB2021 AKG70 Presentation
Click on the image below to review the presentation introducing MLgeo given by Nick Machairas during the committee meeting of AKG70 at TRB Annual Meeting 2021.
License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Release files for mlgeo 0.0.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mlgeo-0.0.3.tar.gz | 3.3 kB | Without provenance | Details for mlgeo-0.0.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mlgeo-0.0.3-py3-none-any.whl | Python 3 | none | any | Details for mlgeo-0.0.3-py3-none-any.whl |
Total release size: 13.2 kB
Release files / mlgeo-0.0.3.tar.gz
| Download URL | mlgeo-0.0.3.tar.gz |
|---|---|
| Size | 3.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.2
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Release files / mlgeo-0.0.3-py3-none-any.whl
| Download URL | mlgeo-0.0.3-py3-none-any.whl |
|---|---|
| Size | 9.9 kB |
| Tags | Python 3 |
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twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.2
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