/AdaNet-PyTorch

PyTorch reimplementation of the paper `Semi-Supervised Learning by Augmented Distribution Alignment`

Primary LanguagePython

This repo is set to reproduce the results of Semi-Supervised Learning by Augmented Distribution Alignment using PyTorch.

Using git submodule init followed by git submodule update to add my personal base library for deep learning.

Freshly new to tensorflow, I try to implement the paper based on the original repo. Details would not perfectly matched.

This codebase also serves as personal codebase for semi-supervised benchmark.

Acknowledgement:
Original authors, repo
Domain-Adversarial Training of Neural Networks, repo
VAT Chainer code