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MahanVeisi8/README.md

Welcome to My GitHub Profile!

๐Ÿ‘จโ€๐Ÿ’ป About Me

Iโ€™m Mahan Veisi, a Computer Engineering undergrad (graduating Jan 2026) at Shahid Beheshti University.
I work at the intersection of Generative AI (diffusion models), Medical Imaging, and Computational Biology.

๐Ÿ“ซ Find me: ๐ŸŒ Website ยท ๐ŸŽ“ Google Scholar ยท ๐Ÿ’ผ LinkedIn ยท โœ‰๏ธ Email ยท โ–ถ๏ธ YouTube

๐Ÿ“ˆ GitHub Stats

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๐Ÿš€ My Technical Arsenal

Python Solidity C++ Java MATLAB SQL Flutter

PyTorch TensorFlow Keras NumPy Pandas Scikit-Learn Pillow OpenCV

Django Flask Git MySQL

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  1. Diff-MOBO Diff-MOBO Public

    Jupyter Notebook 6

  2. LSTMppo-DRL-StockTrader LSTMppo-DRL-StockTrader Public

    Deep Reinforcement Learning (DRL) stock trading system with LSTM-PPO, integrating technical indicators and FinBERT-based news sentiment analysis.

    Jupyter Notebook 36 8

  3. SincPD SincPD Public

    Jupyter Notebook 4

  4. Latent-Diffusion-MNIST-DDPM-using-Autoencoder Latent-Diffusion-MNIST-DDPM-using-Autoencoder Public

    Unlock the potential of latent diffusion models with MNIST! ๐Ÿš€ Dive into reconstructing and generating digits using cutting-edge techniques like Autoencoders with Channel Attention Blocks and DDPMs.โ€ฆ

    Jupyter Notebook 16

  5. VAE-MNIST-Variable-Latent-Size-Reconstruction-and-Visualization VAE-MNIST-Variable-Latent-Size-Reconstruction-and-Visualization Public

    Dive into the world of Variational Autoencoders (VAEs) with MNIST! ๐ŸŽจโœจ Explore variable latent sizes (2, 4, 16) to see how they affect reconstruction, latent space visualizations, and performance meโ€ฆ

    Jupyter Notebook 10

  6. RL_practices RL_practices Public

    Collection of my Reinforcement Learning (RL) practices including DQN, D3QN, and Adaptive Gamma, applied to the Lunar Lander and CartPole environments. ๐Ÿš€๐Ÿ•น๏ธ

    Jupyter Notebook 16