MLL-language-design
PoC of creating a new language focused on ML and DL.
In this repo, you will find only ideas/theories but not implementation, you will find also examples of how it should work made by hand. Implementation will be added in another repo when it will be done.
Feel free to contact me at machine.learning.language@gmail.com to leave ideas or issues.
This is a part of my bachelor's degree thesis at Ca' Foscari University, Dept of Cs, Venice. My supervisors are Lucchese Claudio and Spanò Alvise.
You can download this from Pypi: pip install mll
Metadata
Release files for mll 2.1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| mll-2.1.2.tar.gz | 29.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mll-2.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 62.7 kB
Release files / mll-2.1.2.tar.gz
| Download URL | mll-2.1.2.tar.gz |
|---|---|
| Size | 29.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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Release files / mll-2.1.2-py3-none-any.whl
| Download URL | mll-2.1.2-py3-none-any.whl |
|---|---|
| Size | 33.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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