fazil
/
ADDA.PyTorch-resnet
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
Implementation of "Adversarial Discriminative Domain Adaptation" in PyTorch
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
21 Commits
1 Branch
0 Tags
274 KiB
 
Tree: c3029d104b
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from 'c3029d104b'
${ noResults }
Fazil Altinel c3029d104b
Add environment info 		4 years ago
core Changes for new file organization 4 years ago
input add .gitignore 6 years ago
models Changes for new file organization 4 years ago
outputs add .gitignore 6 years ago
utils Changes for new file organization 4 years ago
.gitignore Add gitignore 4 years ago
README.md Add environment info 4 years ago
__init__.py Changes for new file organization 4 years ago
main.py Change num of epochs 4 years ago

README.md

ADDA.PyTorch

Implementation of "Adversarial Discriminative Domain Adapation" in PyTorch

This repo is mostly based on https://github.com/Fujiki-Nakamura/ADDA.PyTorch

Note

Before running the training code, make sure that DATASETDIR environment variable is set to dataset directory.

Environment

Python 3.8.5 PyTorch 1.6.0

Example

$ python train_source.py --logdir outputs
$ python main.py --logdir outputs --trained outputs/best_model.pt --slope 0.2

Result

SVHN -> MNIST

Paper This Repro
Source only 0.601 0.659
ADDA 0.760 ~0.83

Resource