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1. Apply-FederatedLearning-into-SemanticCommunication Apply-FederatedLearning-into-SemanticCommunication Public

   Using Federated Learning to train the model in Semantic Communication in pytorch

   Python 4

2. Desktop-Search-Engine Desktop-Search-Engine Public

   Design a Desktop Search Engine called Ascaris, to find the files in the computer and ask the question to LLM.

   C++

3. Cpp-Deep-Learning-Framework Cpp-Deep-Learning-Framework Public

   Implementing a Deep Learning Framwork by using C++ (Unfinished)

   C++

4. 2024-MIT6.5940-TinyML-and-Efficient-Deep-Learning-Computing 2024-MIT6.5940-TinyML-and-Efficient-Deep-Learning-Computing Public

   2024 MIT6.5940: TinyML and Efficient Deep Learning Computing

   Jupyter Notebook

5. Apply-FederatedLearning-into-Autoencoder Apply-FederatedLearning-into-Autoencoder Public

   Using Federated Learning to train Autoencoder and its variants' models in pytorch

   Python

6. group_18 group_18 Public

   CSS