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README.md
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| # Domain-Adaptation | |||
| This project contains code for different domain adaptation methods on Office31 dataset. | |||
| Available methods include: DANN, CDAN, MCD, CORAL, MMD | |||
| This project can be easily extended to use on other datasets or perform other adaptaion methods. (Check Code Structure to find out where you need to change.) | |||
| ## Prepare Environment | |||
| Install the requirements using conda from `requirements-conda.txt` (or using pip from `requirements.txt`). | |||
| @@ -77,7 +83,7 @@ The main code for project is located in the `src/` directory. | |||
| - `models.py`: Contains models for adaptation | |||
| - `train.py`: Contains base training iteration | |||
| - `train.py`: Contains base training iteration, dataset is also loaded here | |||
| - `classifier_adapter.py`: Contains ClassifierAdapter class which is used for training a source-only model without adaptation | |||
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