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1. Emotion-Recognition-in-Voice-Datasets-using-different-supervised-and-unsupervised-learning-models. Emotion-Recognition-in-Voice-Datasets-using-different-supervised-and-unsupervised-learning-models. Public

   In this project we implemented supervised and unsupervised models for detecting emotions in voice dataset

   Jupyter Notebook

2. Artificial-Neural-Network-for-classifying-Bird-dataset Artificial-Neural-Network-for-classifying-Bird-dataset Public

   classifying birds dataset using neural network and regularization methods.

   Jupyter Notebook

3. Feed-Forward-Neural-network-on-Cifar-dataset Feed-Forward-Neural-network-on-Cifar-dataset Public

   Training and implementing a feed forward neural network to classify Cifar dataset.

   Jupyter Notebook

4. Implementation-of-Robust-Multi-Agent-RL-via-Minimax-Deep-Deterministic-Policy-Gradient Implementation-of-Robust-Multi-Agent-RL-via-Minimax-Deep-Deterministic-Policy-Gradient Public

   The algorithm described in the M3DDPG publication was fully implemented and tested within the provided environment.

   Jupyter Notebook

5. Designing-digital-and-analog-controllers-for-controlling-the-magnetic-levitation-system Designing-digital-and-analog-controllers-for-controlling-the-magnetic-levitation-system Public

   In this project, we designed analog and digital controllers for controlling the magnetic levitation system and compared their performances.

   MATLAB 1

6. Solving-checker-game-using-minimax-algorithm Solving-checker-game-using-minimax-algorithm Public

   Playing checker using minimax algorithm for finding the best next move.

   Jupyter Notebook