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Library for training deep neural nets in Pytorch.

Project description


This library is a wrapper around pytorch and useful for solving image classification and semantic segmentation problems.


  1. Easy to use wrapper around pytorch so that you can focus on training and validating your model.

  2. Integrates with Tensorboard to use it to monitor metrics while model trains.

  3. Quickly visualize your model's predictions.


Before installing deepml, it is recommended to refer pytorch official page for torch installation.


pip install deepml


Check out the below google colaboratory notebook examples:

  1. Image Regression.
  2. Image Classification.
  3. Semantic Segmentation. [Coming Soon]


If you find a bug or have a feature request, file an issue at

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