mltome
A collection of ML tools that builds on Python ML frameworks. The API of these tools are not stable!
Installation
You can install mltome directly from pypi:
pip install mltome
mltome.pytorch - For installation instructions for PyTorch, visit the PyTorch website.
Development
The development version can be installed by running make dev. Then we can lint make lint and tests by running pytest.
Metadata
Release files for mltome 0.1.0.post1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mltome-0.1.0.post1.tar.gz | 6.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mltome-0.1.0.post1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.9 kB
Release files / mltome-0.1.0.post1.tar.gz
| Download URL | mltome-0.1.0.post1.tar.gz |
|---|---|
| Size | 6.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.7
|
Release files / mltome-0.1.0.post1-py3-none-any.whl
| Download URL | mltome-0.1.0.post1-py3-none-any.whl |
|---|---|
| Size | 6.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.7
|