Weights & Biases (wandb): Difference between revisions
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[https://wandb.ai Weights & Biases (wandb)] is a "meta machine learning platform" designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining the machine learning model lifecycle. By using wandb, users can track, compare, explain and reproduce their machine learning experiments. | [https://wandb.ai Weights & Biases (wandb)] is a "meta machine learning platform" designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining the machine learning model lifecycle. By using wandb, users can track, compare, explain and reproduce their machine learning experiments. | ||
== Using | == Using wandb on Compute Canada clusters == | ||
=== Availability === | === Availability === |
Revision as of 16:00, 13 January 2021
Weights & Biases (wandb) is a "meta machine learning platform" designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining the machine learning model lifecycle. By using wandb, users can track, compare, explain and reproduce their machine learning experiments.
Using wandb on Compute Canada clusters
Availability
Since it requires an internet connection, wandb has restricted availability on compute nodes, depending on the cluster:
Cluster | Availability | Note |
---|---|---|
Béluga | Yes ✅ | wandb can be used after loading the httpproxy module: module load httpproxy |
Cedar | Yes ✅ | Internet access is enabled |
Graham | No ❌ | Internet access is disabled on compute nodes |