klieret/wandb-offline-sync-hook
A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
When running machine learning experiments on isolated compute nodes without internet access, this tool helps you regularly send your experiment results to Weights & Biases (W&B) for live tracking. Your offline experiment logs go in, and continuously updated W&B dashboards come out. This is for machine learning engineers, researchers, or data scientists training models in secure or air-gapped environments.
Use this if you train machine learning models on compute nodes that lack internet access but share a file system with a head node that does have internet, and you want to keep your Weights & Biases dashboards updated in near real-time.
Not ideal if your compute nodes already have direct internet access or if you are not using Weights & Biases for experiment tracking.
Stars
90
Forks
10
Language
Python
License
MIT
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
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