torch-lb
A simple menu-based viewer for AI lab practicals, arranged in numerical order.
Install locally
From the folder containing pyproject.toml:
python -m pip install .
Run
python -m torch_lab
In Python IDLE:
import runpy
runpy.run_module("torch_lab", run_name="__main__")
The package displays extracted text/code from the supplied practical documents. It does not execute each practical program. Assignment/research document was excluded; practicals 1–10 are included in numerical order.
1 maintainer
Metadata
1 maintainer
Release files for torch-lb 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| torch_lb-0.1.0.tar.gz | 9.3 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torch_lb-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.6 MB
Release files / torch_lb-0.1.0.tar.gz
| Download URL | torch_lb-0.1.0.tar.gz |
|---|---|
| Size | 9.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.2
|
Release files / torch_lb-0.1.0-py3-none-any.whl
| Download URL | torch_lb-0.1.0-py3-none-any.whl |
|---|---|
| Size | 9.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e9961687a89ecfd97fa9aeef98eeb82a2f1088138d9422b6dea963b6b55b4f07
|
|
BLAKE2b-256 checksum How to use checksums |
369ebb7ad3311d0727969ee97f257fe71291d1245d3632be8de63225ed94dd13
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.2
|
Security for torch-lb 0.1.0
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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