Machine Learning eXchange (MLX)
Data and AI Assets Catalog
Allows registration and search of Data and AI Assets:
- AI pipelines and pipeline operators
- Models
- Datasets
- Notebooks
- Any other asset type by just specifying a JSON-Schema
This is Version 2 of MLX. MLX comes with its own backend but integrations to HugginFace and other catalogs are on the roadmap.
1. How to Contribute
For information about adding new features, bug fixing, communication or UI and API setup, refer to this document.
2. Credits
MLX is supported by the EU’s Horizon Europe program under Grant Agreement number 101131841 and also received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI) and the UK Research and Innovation (UKRI).
1 maintainer
Metadata
1 maintainer
Release files for ml-exchange 0.3.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ml_exchange-0.3.8.tar.gz | 14.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_exchange-0.3.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.9 kB
Release files / ml_exchange-0.3.8.tar.gz
| Download URL | ml_exchange-0.3.8.tar.gz |
|---|---|
| Size | 14.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cfe26bef2f05ba8b3e5d0aca1b49ddb48716ca1e27a8f993531666b8e2a4dfb0
|
|
BLAKE2b-256 checksum How to use checksums |
4163a8380e9909e667ee2af2fd0fd9e28bf0fd702abfefbc7652acaa9061e8ad
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.18
|
Release files / ml_exchange-0.3.8-py3-none-any.whl
| Download URL | ml_exchange-0.3.8-py3-none-any.whl |
|---|---|
| Size | 13.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1433f220673727dd85463f5dfa6cc7adca8ecb1410a18c70221e6d9fefc34ba3
|
|
BLAKE2b-256 checksum How to use checksums |
4f9397727ec6f347261dcdb9350c453f16c70f6700ddafeebb4256909c74439b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.18
|
