hossenkhodadadi Goto Github PK

I'm a Data Science enthusiast studying Data Science and Engineering at Politecnico di Torino.

Here are some of the projects I've been working on:

1. Leveraging Personal Pronoun Resolution, Keywords Extraction, Data Augmentation, and Model Exploration for Enhanced Abstractive Dialogue Summarization (NLP, Deep Learning): Multiple Seq2Seq models were trained and improved through augmentation to evaluate their capabilities for dialogue summarization task. Tech: Hugging Face, Weights&Biasses,

2. Caltech Classification and Fine Tuning on AlexNet (Classification, Deep Learning): AlexNet model was used to predict in low data regimes and a large number of classes. different fine-tuning techniques were used to improve the accuracy. Tech: Weights&Biasses, Pytorch

3. A Novel Approach for Improving Generalization in Federated Learning Through Corrective Gradient Weights (Federated Learning, Deep Learning): The Federated Learning paradigm was implemented to train a central Neural Network Model without intruding the clients privacy, the model improved by adding the Corrective Gradient Weights. Tech: Python, PyTorch

4. Reinforcement Learning on Game Agent Training for Quixo Board Game (RL, Deep RL): Min-Max algorithm was implemented to play Quixo game with 95% win rate against a random player. Tech: Python, Pytorch

5. Audio Intent Detection (Classification, Deep Learning): A deep learning model was designed to classify audio files using MFCC method. Tech: Python, TensorFlow, Keras

6. Predicting Covid-19 outbreak using LSTM algorithm in Deep Learning (Time Series Prediction, Deep Learning): A deep learning model was designed to predict the number of contaminated, recovered and death covid cases. Tech: Python, TensorFlow, Keras

Feel free to explore and contribute!