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Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Google Cloud Storage. You can get the data back out using the command-line interface or a notebook.
Features
- Automatically track code, hyperparameters, training data, weights, metrics, Python dependencies — everything
- Get back the code and weights from any checkpoint if you need to replicate your results or commit to Git after the fact
- Model weights are stored on your own Amazon S3 or Google Cloud bucket, so it's really easy to feed them into production systems
- Documentation available
- Examples available
- Track experiments
- Go back in time
- Version your models
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow Keepsake
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