GitHub - replicate/keepsake: Version control for machine learning

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. Then Keepsake will start tracking everything: code, hyperparameters, training data, weights, metrics, Python dependencies, and so on. Your experiments are all in one place, with filter and sort. Because the data's stored on S3, you can even see experiments that were run on other machines.