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Commits on Oct 2, 2024

• 🐛🔧 Fix GPU tensor conversion to CPU before NumPy operations

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Commits on Sep 11, 2024

• 🎉🚀 Code is now more modular, easier to maintain, and aligned with SOLID principles.

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Commits on Sep 9, 2024

• 📝 : Adding Documentation to the Model module to improved readability and efficiency

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Commits on Sep 5, 2024

• ✅ : The `plotting` module is Don!

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Commits on Sep 3, 2024

• 🔨 : Refactor training and evaluation functions for clarity and efficiency

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• 🗃️ : Improve Folder Structure and File Organization for better readability,

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Commits on Sep 2, 2024

• 🔄 Refactor `ModelPaperBackward` and `ModelClassAttention` class with improved variable naming and efficiency

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• 🔄 Refactor `ModelPaper` and `ModelPaperBackward` class with improved variable naming

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• 🔄 Refactor AdditiveAttention and AdditiveAttentionBackwards classes

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Commits on Aug 29, 2024

• 🔨 Refactor `InMemoryKoreaDataset` class for enhanced efficiency and readability

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• 🔨 Refactor `InMemoryDataset` class for enhanced efficiency and readability

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• 🔨 Refactor `NilmDataset` class for improved efficiency and readability

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• ✨ Refactor `Building` class and `load` function for improved readability and efficiency

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Commits on Aug 26, 2024

• ♻️ : Refactor code and adding null pointer check

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Commits on Aug 25, 2024

• ⚰️ ♻️ : [UPGRADE] Update syntax for Python 3.10 compatibility and remove dead code and unused imports

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• 📌📌 : [DEPS] Update dependencies for Python 3.10 compatibility

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• ⬆️⬆️: [UPGRADE] Update project metadata for Python 3.10

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Commits on Aug 22, 2024

• ⚰️ : Add Apache 2.0 License to code files and scripts +plus+ removing some dead code and unused imports

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• 🔧🔧 : The Licence header is added to those cofigs file and scripts

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• Adding setup.py file for the project metadata

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• 📄 : Adding the Apache2 License

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• Remove the notbooke file and add it to .gitignore, has to wait util it's turne is come lol

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• 📄 : Adding the Apache2 License

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Commits on Aug 19, 2024

• 📝 : A template for NILM datasets properties, for future work 🔮

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• 📜📜: Adding scripts for running the train and the test

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• ✅ : OK, now we talk lol

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• 📦 : adding package version

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• 💥💥: The train and test scripts are here

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• ⚗️ : Implement the model architecture we use for the training

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• 🗃️ 🗃️ : The dataset loading, preprocessing and cleaning is here for the REDD dataset

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• 🙈 : Updating the .gitignore file

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• starting the project structure

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• Ah shit, here we go again 🎉🎉🎉

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