pytorch-land for happy deep learning

# PyTorch Land

This is a repository of select implementations of deep learning models using pytorch.

There is also my own mini-framework for model training (which I call simply NetworkTrainer), that ended up with something very similar to ignite, created in order to reduce common boilerplating. More flexible and intuitive than ignite, in my opinion :).

More models to be added, and improvements on NetworkTrainer is under way.

## Installation

pip3 install pytorch-land


See pypi page for package details.

## Implemented Models

### Autoencoders

• Stacked Denoising Autoencoders [paper] [code]
• Stacked Convolutional Denoising Autoencoders (2017) [paper] [code]

## Requirements

Required packages are specified in requirements.txt file. The packages can be installed using the following command:

pip3 install -r requirements.txt


Notably, the codes are compatible with pytorch 0.4 - working on with pytorch 1.1 compatibility.

## Project details

Uploaded source