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  1. self-learning self-learning Public

    In this project, I developed a model that enables a simulated truck to autonomously reverse to a target position from any starting point.

    Jupyter Notebook

  2. convolutional-neural-networks-from-scratch convolutional-neural-networks-from-scratch Public

    Implementation of forward and backward propagation of batch normalization, max pooling, and convolutional neural network from scratch.

    Python

  3. attention-and-transformers attention-and-transformers Public

    The purpose of this project is to understand how the Transformers work and to build a Vision Transformer

    Python 1 1

  4. cpu-scheduler cpu-scheduler Public

    In this project, I applied the most commonly used CPU Scheduling algorithms in C++ and explained the processes/threads, scheduling process, and synchronization.

    C++ 1

  5. mixture-of-experts mixture-of-experts Public

    Training two separate expert neural networks and one gater that can switch the expert networks.

    Python 5

  6. virtual-memory virtual-memory Public

    A C++ implementation of a virtual memory management system simulator. This project models various page replacement algorithms, including FIFO, Random, Clock, ESC (Enhanced Second Chance), Aging, an…

    C++