8000 Emilio-Vasquez (Emilio Vasquez) · GitHub
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Achievement: Pull Shark

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Achievement: Pull Shark

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  1. UCNJ-Projects-Template UCNJ-Projects-Template Public

    Structured starter template for Academic Projects in Python (Flask), SQL, JS, CSS and HTML. Includes standardized folders, environment config, and starter code to streamline development and teachin…

    HTML 1

  2. Abstractive-Text-Summarization-Tool-Transformers- Abstractive-Text-Summarization-Tool-Transformers- Public

    Engineered a summarization tool leveraging GPT-3.5, BART, and T-5 to assess model performance on CNN and Daily News datasets.

    Jupyter Notebook 1

  3. COVID-19-Analysis COVID-19-Analysis Public

    Investigated the influence of socio-economic and demographic (SEDH) factors on COVID-19 vaccination rates across California by analyzing 154 ZIP-code-specific variables. Identified key predictors o…

    Jupyter Notebook 1

  4. Educational-Stock-Application Educational-Stock-Application Public

    The Educational Stock App is a comprehensive educational platform for stock market enthusiasts. Built with Flask, JavaScript, HTML, and CSS, it offers a multi-page experience with various features.

    Python 1

  5. RoseTTAFold-HPC RoseTTAFold-HPC Public

    Forked from RosettaCommons/RoseTTAFold

    This is a step-by-step guide on installing RoseTTAFold on an HPC without having Sudo Permissions and without having to use Docker. Requirements: Cuda 11.8, miniconda3, pip or conda

    Python 1

  6. Forecasting-Stocks_LSTM-Sentiment-Transformer-Federated-Learning Forecasting-Stocks_LSTM-Sentiment-Transformer-Federated-Learning Public

    Thoroughly tested several different machine learning algorithms for stock market forecasting, found LSTM-transformers model to be best suited for this. Implemented Federated Learning and Sentiment …

    Jupyter Notebook 1

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