Implementations of commonly used utilities in Pytorch, to be used in my various other projects that require them.
- Early Stopping. Boolean flag which denotes whether training should continue.
- Stats tracker which keeps track of loss metrics and stores the best model throughout training
- OneHot Encoder class.
- Add checkpointing
- Add tensorboard utils (and by extension, figure out how to do basic tensorboard with torch)