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+# README
+------
+I modified sedna source code to get my algorithm integrated into lifelong learning. I would display the framework and illustrute what I modified.
+## Framework
+![](framework_with_gan_selftaughtlearning.png)
+
+## What I Modified
+
+1. Delete redundant annotations.
+2. Replce `print` with `logger`.
+3. Integrate my algorithm into `sedna.lib.sedna.algorithms.unseen_task_processing.unseen_task_processing.py`.
+4. Replace absolute path with relative path.
+5. Remove redundant code.
+6. Provide link for developers to download trained model.
+
+## What I Refer to
+I refer to [FastGAN-pytorch](https://github.com/odegeasslbc/FastGAN-pytorch) to implement my GAN module.
+
+## Model to Download
+In `GAN.lpips.weights`, developers may need the pre-trained model.    
+Also, the trained GAN model and trained encoder model is also provided.      
+Click here [link](https://drive.google.com/drive/folders/1IOQCQ3sntxrbt7RtJIsSlBo0PFrR7Ets?usp=share_link) to download.
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