gan3sh500/mixmatch-pytorch

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Created about 5 years ago
Updated about 5 years ago

gan3sh500/mixmatch-pytorch

gan3sh500

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Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)

[WIP] MixMatch: A Holistic Approach to Semi-Supervised Learning

A Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning [paper]. Till it is no longer a WIP check notebook for latest code.

TO-DO

Train on CIFAR10 data.
~~Add training code for CIFAR10 with WideResnet28 from here.~~

Dependencies

pip install <pytorch-latest.whl url>

To use this layer:

from layer import mixmatch, MixMatchLoss

local-relational-nets

A Pytorch implementation for the paper Local Relational Networks for Image Recognition (https://arxiv.org/pdf/1904.11491.pdf)

Jupyter Notebook

octaveconv-pytorch

Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution in Pytorch (https://arxiv.org/abs/1904.05049)

attention-augmented-conv

Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)

kervolution-pytorch

Pytorch Implementation of the Kernel Convolution AKA Kervolution Layer from Kervolutional Neural Networks (https://arxiv.org/pdf/1904.03955.pdf)

Jupyter Notebook

revrnn

Reversible Recurrent Neural Network Pytorch Implementation

custom-pooling

A few unconventional pooling layers implemented in Pytorch Or Tensorflow

dropblock

Pytorch implementation of DropBlock: A regularization method for convolutional networks (https://arxiv.org/abs/1810.12890v1)

tf-to-yolo

Convert tfrecords to Darknet YOLO data format.