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Developing AI Models
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Developing AI Models
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samresume/README.md

Sam EskandariNasab

Sam EskandariNasab

👨‍🎓 About Me

I am MohammadReza EskandariNasab, also known as Sam, a Machine Learning Researcher and Lead Web Developer with extensive experience in generative models, including diffusion models and GANs. Additionally, I lead an NSF-funded project that enables researchers to train AI models for solar flare prediction without any coding expertise.

💻 Technical Proficiency

Data Science & Machine Learning 

TensorFlow IconKeras Iconscikit-learn IconPandas IconNumpy IconMatplotlib & Seaborn IconMachine Learning IconNeural Networks IconData Preparation IconGenerative AI Icon

Languages & Frameworks

Python IconC++ IconDjango IconREST APIs IconReact IconSQL IconMongoDB IconCelery IconHTML IconCSS Icon

🌐 My Online Presence

Stay updated on my news, research, and projects through the following platforms:

🚀 GitHub Activity

Sam's Top Languages

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  1. ChronoGANChronoGANPublic

    This advanced framework integrates the benefits of an Autoencoder-generated embedding space with the adversarial training dynamics of GANs for time series generation..

    Jupyter Notebook 10 1

  2. SeriesGANSeriesGANPublic

    We introduce an advanced framework that integrates the advantages of an autoencoder-generated embedding space with the adversarial training dynamics of GANs for time series generation.

    Jupyter Notebook 11 2

  3. PreprocessingPipeline-ContRegClassifier-SWANSFPreprocessingPipeline-ContRegClassifier-SWANSFPublic

    Accurate solar flare prediction is crucial for mitigating risks to astronauts, space equipment, and satellite communication. Our study enhances prediction accuracy using advanced preprocessing and …

    Jupyter Notebook 3

  4. FlaPLeTFlaPLeTPublic

    FlaPLeT is an open-source, full-stack web platform that enables end-to-end machine learning workflows for solar flare prediction through an interactive user interface. Its modular design also provi…

    JavaScript 2 1

  5. AVATARAVATARPublic

    We introduce AVATAR, a framework that combines Adversarial Autoencoders (AAE) with Autoregressive Learning for time series generation.

    Jupyter Notebook 2

  6. Cleaned-SWANSF-DatasetCleaned-SWANSF-DatasetPublic

    The SWAN-SF dataset is now fully preprocessed, optimized, and ready for binary classification tasks. Our team is excited to release the enhanced version of the SWAN-SF dataset across all five parti…

    8 1