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 torchhkorgit clone https://github.com/Harry24k/pytorch-custom-utils
from torchhk import *
Demos
-
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 (code, markdown): Dataset utils for loading, split and label filtering.
Supported Datasets: CIFAR10, CIFAR100, STL10, MNIST, FashionMNIST, SVHN, MNISTM, ImageNet, USPS, TinyImageNet.
-
Vis (code, markdown): Visualization tools for torch tensors.
-
Transform (code): Transform will help you to construct a new model with certain layers changed.
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