awslabs / awslabs/graphstorm

Support deterministic experiments

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Dominant language
Python
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452
Forks
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Description

Is it possible to support deterministic experiments to ensure full reproducibility?

Something like this: https://lightning.ai/docs/pytorch/stable/common/trainer.html#reproducibility

Contributor guide

Open the contributing guide

Research direction

No files, tests, or entry points are named. Start by reviewing the linked PyTorch Lightning reproducibility guidance and the repository's experiment and training entry points to define the required scope. Done should mean that repeated experiments can be reproduced deterministically, with the behavior verified by an appropriate test or example.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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