Custom utils for PyTorch
Project description
pytorch-custom-utils
This is a lightweight repository to help PyTorch users.
Usage
:clipboard: 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
:hammer: Installation
pip install torchhkorgit clone https://github.com/Harry24k/pytorch-custom-utils
from torchhk import *
:rocket: Demos
-
RecordManager (code, markdown): RecordManager will help you to keep tracking training records.
-
Datasets (code, markdown): Dataset will help you to use torch datasets including split and label-filtering.
Supported datasets: CIFAR10, CIFAR100, STL10, MNIST, FashionMNIST, SVHN, MNISTM, ImageNet, USPS, TinyImageNet, CIFAR with Unsupervised, Corrupted CIFAR.
-
Vis (code, markdown): Vis will help you to visualize torch tensors.
-
Transform (code): Transform will help you to change specific layers.
Contribution
Contribution is always welcome! Use pull requests :blush:
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