Neptune.ai Tools for using Neptune client on AWS integration library
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Meta
Author: neptune.ai
Requires Python: >=3.7,<4.0
Classifiers
Development Status
- 5 - Production/Stable
Environment
- Console
Intended Audience
- Developers
- Science/Research
License
- OSI Approved :: Apache Software License
Natural Language
- English
Operating System
- MacOS
- Microsoft :: Windows
- POSIX
- Unix
Programming Language
- Python :: 3
- Python :: 3.7
- Python :: 3.8
- Python :: 3.9
- Python :: 3.10
- Python :: 3.11
- Python :: 3.12
- Python :: Implementation :: CPython
Topic
- Scientific/Engineering :: Artificial Intelligence
- Software Development :: Libraries :: Python Modules
Neptune-AWS integration
Read your Neptune credentials directly from AWS Secrets.
What will you get with this integration?
- Log, organize, visualize, and compare ML experiments in a single place
- Monitor model training live
- Version and query production-ready models and associated metadata (e.g. datasets)
- Collaborate with the team and across the organization
What will be logged to Neptune?
- Training code and Git information
- System metrics and hardware consumption
- Other metadata
Resources
Example
Install Neptune and the integration:
pip install -U "neptune[aws]"
Enable Neptune logging:
from neptune.integrations.aws import init_run
run = init_run(
secret="neptune-secret", # Use your secret name here
region="us-west-1", # Use the appropriate region here
)
Support
If you got stuck or simply want to talk to us, here are your options:
- Check our FAQ page.
- You can submit bug reports, feature requests, or contributions directly to the repository.
- Chat! In the Neptune app, click the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP).
- You can just shoot us an email at support@neptune.ai.
