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README.md
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| # Domain-Adaptation | # 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 | ## Prepare Environment | ||||
| Install the requirements using conda from `requirements-conda.txt` (or using pip from `requirements.txt`). | Install the requirements using conda from `requirements-conda.txt` (or using pip from `requirements.txt`). | ||||
| - `models.py`: Contains models for adaptation | - `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 | - `classifier_adapter.py`: Contains ClassifierAdapter class which is used for training a source-only model without adaptation | ||||
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