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nikaemami/README.md

👩🏻‍💻  About me

I am an Electrical Engineering PhD candidate at NYU, Tandon School of Engineering. My research focuses on deep learning for multimodal and graph-based learning, with applications in speech, vision, and neural decoding. Check out my publications on Google Scholar.

🚀  Languages and Tools

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  1. ML_for_EEG_Signal_Processing ML_for_EEG_Signal_Processing Public

    Feature extraction of EEG signals and implementation of the best classification method (with different machine learning models like KNN, SVM, and MLP) to find the time step in which the brain neuro…

    Jupyter Notebook 2 1

  2. Model-Free-Reinforcement-Learning Model-Free-Reinforcement-Learning Public

    This project implements and compares two approaches for a taxi game environment: random exploration and Q-Learning. The goal is to efficiently transport passengers to their destinations while minim…

    Jupyter Notebook

  3. Emotion-Driven-Music-Generation Emotion-Driven-Music-Generation Public

    Emotion-Driven Music Generation: A Deep Learning Pipeline Integrating EfficientNet and MIDINet

    Jupyter Notebook 2

  4. Block-Based-Hybrid-Video-Coding Block-Based-Hybrid-Video-Coding Public

    This project implements a basic block-based hybrid video coder for P-frame coding using 8x8 blocks. The coder includes intra-prediction using three modes and inter-prediction with integer accuracy …

    Python