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1. self-learning self-learning Public

   Development of a model that enables a simulated truck to autonomously reverse to a target position from any starting point.

   Python

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++ 2

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

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

   Python 6

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++