Giter Club home page Giter Club logo

mcd's Introduction

MCD

A simple implentment of Maximum Classifier Discrepancy for Unsupervised Domain Adaptation with pytorch

The autor's github is here.It's fully functional but a little complicated.

environment

(1) windows10

(2) python=3.7

(3) pytorch=1.5

(4) torchvision=0.6

(5) pycharm CE

results

usps to mnist: 88%(source) ~ 91%(target)

mnist to usps: 95%(source) ~ 92%(target)

how to run?

Dwonload it and put it into a pycharm project. Create folder "models_trained" and "dataset". Run main.py

mcd's People

Contributors

nyn-ynu avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.