torchhk 0.49

Custom utils for PyTorch

pytorch-custom-utils

This is a custom useful utils for Pytorch.

Usage

Dependencies

• torch 1.4.0
• torchvision 0.5.0
• python 3.6
• matplotlib 2.2.2
• numpy 1.14.3
• seaborn 0.9.0
• copy
• warnings

Installation

• pip install torchhk or
• git clone https://github.com/Harry24k/pytorch-custom-utils

from torchhk import *

Demos

• rm(RecordManager) (code): RecordManager will help you to watch records pretty during iterations. It also provides some useful functions such as summary, plot, etc.

• datasets(Datasets) (code): Datasets will help you to bring torchvision data with only simple one line. It also has split function for people who need a validation set.

• vis(Vis) (code): Vis provides two functions as below :

  • imshow : It will help you to see torch tensor images in one plot.
  • weightshow : It will help you to see all weights' distribution of a torch model.

• transform(Transform) (code): Transform will help you to construct a new model with certain layers changed.

Update Records

Version 0.1

• RecordManager
• Datasets
• Vis :
  • imshow
  • weightshow
• Transform :
  • transform_layer
  • transform_model

Version 0.2

• RecordManager
  • Ploting two axis added.
• Datasets
  • CIFAR100 added.
• Vis :
  • imshow -> im_show
  • weightshow -> weight_show
• Transform :
  • transform_layer
  • transform_model

Version 0.3

• RecordManager
• Transform :
  • transform_model : Error Solved.

Version 0.4

• Datasets :
  • Shuffle set to False in validation set.