​​A tiny Catalyst-like experiment runner framework on top of micrograd.

Implements Experiment, Runner and Callback Catalyst-core abstractions and has extra PyTorch-like micrograd modules - MicroLoader, MicroCriterion, MicroOptimizer and MicroScheduler.

Every module is tiny, with about 100 lines of code (even this readme). However, this is enough to make Kittylyst easily extendable for any number of data sources and support multi-stage experiments, as the demo notebook shows.

Potentially useful for educational purposes.

https://github.com/Scitator/kittylyst

#python #ds