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

Project Activity

See All Activity >

Categories

Machine Learning

License

Apache License V2.0

Follow Keepsake

Keepsake Web Site

Other Useful Business Software
Build Agents and Models on One Platform Icon
Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Try It Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Keepsake!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-08-15