I contributed to a module which can log, monitor and easily compare different runs by adding compatibility with fast.ai. It uses Weights & Biases (free for public code) and only requires to add a callback to your existing code.
It’s convenient to monitor long runs on your phone and compare runs on the same graph.
I’d be happy if anyone could test it and give me any feedback before the guys from W&B post a release note.
Here is a sample project:
- code to reproduce: https://github.com/borisdayma/simpsons-fastai
- visualization generated: https://app.wandb.ai/borisd13/simpsons-fastai/reports?view=borisd13%2Fsimpsons
You can also log images and all kind of custom data. Here is an example where I used Pytorch to colorize black & white images: https://app.wandb.ai/borisd13/colorizer/runs/0uiwhl8e?workspace=user-borisd13
Feel free if you have any questions or comments. The objective is for it to be as convenient as possible to log everything (losses, metrics, model topology, weights & gradients histogram, model file, predictions…).