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Fazil Altinel
40bd99c10f
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4 years ago | |
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core | 4 years ago | |
input | 6 years ago | |
models | 4 years ago | |
outputs | 6 years ago | |
utils | 4 years ago | |
.gitignore | 4 years ago | |
README.md | 4 years ago | |
__init__.py | 4 years ago | |
main.py | 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 |