Guild AI is an open source toolkit that automates and optimizes machine learning experiments.
- Run unmodified training scripts, capturing each run result as a unique experiment
- Automate trials using grid search, random search, and Bayesian optimization
- Compare and analyze runs to understand and improve models
- Backup training related operations such as data preparation and test
- Archive runs to S3 or other remote systems
- Run operations remotely on cloud accelerators
- Package and distribute models for easy reproducibility
For details, see Guild AI website.
Important links:
Release files for guildai 0.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| guildai-0.9.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for guildai-0.9.0-py2.py3-none-any.whl |
Release files / guildai-0.9.0-py2.py3-none-any.whl
| Download URL | guildai-0.9.0-py2.py3-none-any.whl |
|---|---|
| Size | 4.5 MB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
50607a67a80c69bddddacce03c000d6b5b262755f6f47e9a718179382d75bf30
|
|
BLAKE2b-256 checksum How to use checksums |
e9e57b8b0aa133ec88d7767f514c683dd9ff89c944e22287cbbe6a150ee12e7b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Security for guildai 0.9.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
