Torch-gists

A collection of models and utilities that I frequently use in my ML projects

Importing models

Models included:

• ResNet (18, 34, 101, 152)
• VGG
• MobileNet-V2

To import models:

from torch_gists.models import ResNet18
model = ResNet18(num_classes=10)

Utilities

wrapper for pytorch_lightning

A base class pl_wrapper that extens pytorch_lightning implementing training, validation, testing loops, dataloader that's common to most models. Users can extend the pl_wrapper class and implement their own __ini__, forward and data methods.

from torch_gists.utils import pl_wrapper

class my_model(pl_wrapper):
    def __init__(self):
        super().__init__()
        ...
    
    def forward(self, x):
        ...