Skip to main content

pytorch-land for happy deep learning

Project description

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

CNN architectures

GANs

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.

NetworkTrainer

Datasets

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pytorch-land, version 0.1.6
Filename, size File type Python version Upload date Hashes
Filename, size pytorch-land-0.1.6.tar.gz (18.5 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page