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Custom utils for PyTorch

Project description

pytorch-custom-utils

Custom 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
  • sklearn
  • plotly

Installation

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

Demos

  • rm(RecordManager) (code, markdown): RecordManager will help you to record loss or accuracy during iterations. It also provides some useful functions such as summary, plot, etc.

  • datasets(Datasets) (code, markdown): Dataset utils for loading, split and label filtering.

    Supported Datasets: CIFAR10, CIFAR100, STL10, MNIST, FashionMNIST, SVHN, MNISTM, ImageNet, USPS.

  • vis(Vis) (code, markdown): Visualization tools for torch tensors.

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

Project details


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