flambe
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An ML framework to accelerate research and its path to production.
This PR improves over the status quo of producing random embeddings for unknown tokens by learning a normal distribution over the provided embeddings.
**Is your feature request related to a problem? Please describe.** When certain configs have a duplicate key in the config, then `flambe` fails with: ``` ruamel.yaml.constructor.ConstructorError: could not determine a...
**Is your feature request related to a problem? Please describe.** Currently, customizing a model requires sometime overriding the Trainer. It would be best if the Trainer was an object that...
Sometimes our custom save format doesn't work well for certain architectures, or users would just prefer pickle, or because the save format isn't as mature as pickle there can be...
**Is your feature request related to a problem? Please describe.** Given that an experiment can take a long time to get to the latest object initialization step, any incompatibilities of...
**Is your feature request related to a problem? Please describe.** There is no clean unified interface for datasets. **Describe the solution you'd like** A unified interface should include the following...
It would be great if we could extract torchscript models from flambe models, after training. That requires all flambe base models to be compatible with torchscript. After a very superficial...
This is a feature request bordering on a bug. Right now, flambe does not allow to track metrics during training. This, however, is essential to monitor learning. One problem that...
**Is your feature request related to a problem? Please describe.** For most research, new models/algorithms/etc are tested on specific "standard" datasets. **Describe the solution you'd like** flambe-integrated datasets that could...
**Is your feature request related to a problem? Please describe.** Use-case: I use flambé to both debug models then grid-search over the stuff I'm happy with. To debug, I often...