Giter VIP home page Giter VIP logo

pseudo_label-pytorch's Introduction

Pseudo-Label The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks

The repository implement a semi-supervised method for Deep Neural Networks, the Pseudo Label. More details for the method please refer to Pseudo-Label The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks.

The environment:

  • Python 3.6.5 :: Anaconda
  • PyTorch 0.4.0
  • torchvision 0.2.1
  • tensorboardX (for log)
  • tensorflow (for visualization)

To prepare the data:

bash data-local/bin/prepare_cifar10.sh

To run the code:

python -m experiments.cifar10_test

Visualization:

Make sure you have installed the tensorflow for tensorboard

tensorboard --logdir runs

Code Reference

pytorch-cifar@kuangliu

mean-teacher@CuriousAI

senet.pytorch@moskomule

pseudo_label-pytorch's People

Contributors

ibelievecjm avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.