Aquarium vs Polyaxon
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An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications. | Machine learning models are only as good as the datasets they're trained on. It helps ML teams make better models by improving their dataset quality. |
| - | Upload your dataset to get a health check of its quality, quantity, and diversity. Zoom in and out of your dataset. Uncover distribution biases before you train. Find and fix labeling errors quickly;
Upload model inferences against your labeled datasets and deep dive into its performance. Find where your model is performing well and badly so you can take the best actions to improve it;
With knowledge of your dataset diversity and model performance, it automatically samples the best data to sample to label and retrain on. Your model performance just gets better |
Statistics | |
GitHub Stars 3.7K | GitHub Stars - |
GitHub Forks 325 | GitHub Forks - |
Stacks 11 | Stacks 9 |
Followers 65 | Followers 11 |
Votes 14 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to Polyaxon, Aquarium?
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