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Achievement: Pull Shark

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Achievement: Pull Shark

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meet47/README.md

Hi, I'm Meet! A Data Scientist based in Toronto, Canada! Let's Talk Data!

  • 🤔 My interest falls in GenAI, NLP, Computer Vision and Statistical Modelling.
  • 🔭 I’m currently working on Multimodal LLMs and Optimization of MLSys in Production.
  • 💬 Ask me about anything, I'd be more than happy to help you.
  • 📫 How to reach me: Drop an email at meetbardoliya28@gmail.com.

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  1. AGI-Application AGI-Application Public

    This repository has been created to get hands on experience with AGI Applications

    Jupyter Notebook

  2. Document-QnA-RAG Document-QnA-RAG Public

    Python

  3. LangChain LangChain Public

    Exploring LangChain Capabilities

    Jupyter Notebook

  4. Automated-Image-Captioning Automated-Image-Captioning Public

    In this project, I implemented the paper Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. The neural network, a combination of CNN and LSTM, was trained on the MS COCO …

    Jupyter Notebook

  5. FaceLandmarkDetection FaceLandmarkDetection Public

    I trained a neural network to locate important points on faces for this project. The model was Resnet-18, with a few minor changes to the input and output layers. The official DLib Dataset, which i…

    Jupyter Notebook

  6. NLP-Sentimate-Analysis NLP-Sentimate-Analysis Public

    Used Amazon Food product reviews to derive sentiment analysis. Used NLTK Vader Model and Hugging Face's Pretrained Roberta Model to get polarity score of the customer review

    Jupyter Notebook