MLSys
About
MLSys is a lightweight front-end for running, benchmarking, and optimizing ML systems, powered by the cMeta framework.
Copyright
Copyright (C) 2025-2026 Grigori Fursin and cTuning Labs.
All rights reserved.
License
Contact Grigori Fursin.
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Metadata
1 maintainer
Release files for mlsys 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlsys-0.0.5.tar.gz | 2.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlsys-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.4 kB
Release files / mlsys-0.0.5.tar.gz
| Download URL | mlsys-0.0.5.tar.gz |
|---|---|
| Size | 2.9 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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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.3
|
Release files / mlsys-0.0.5-py3-none-any.whl
| Download URL | mlsys-0.0.5-py3-none-any.whl |
|---|---|
| Size | 3.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ca752381890feb97608e947b6e7fb88d91005330370772659d02e2cdd83d3ea1
|
|
BLAKE2b-256 checksum How to use checksums |
663d8df656146a51c868f0041b258d1850aa37c9794f05a10c06a2ed41968ace
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.3
|
