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yugeshsivakumar/README.md

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๐Ÿ’ป Tech Stack:

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YAML Keras Matplotlib NumPy Pandas Canva

๐Ÿ“Š GitHub Stats:


๐ŸŽญ Stack Overflow Stats

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  1. LLaVA-Image-Description-Generator LLaVA-Image-Description-Generator Public

    This project utilizes the LLaVA model, an end-to-end trained large multimodal model designed to understand and generate content based on both visual inputs (images) and textual instructions.

    Python

  2. MNIST-Digit-Recognition MNIST-Digit-Recognition Public

    This project focuses on the development of a machine learning model designed to recognize and predict handwritten digits using the MNIST dataset

    Jupyter Notebook

  3. Generative-Adversarial-Networks-for-Image-Creation Generative-Adversarial-Networks-for-Image-Creation Public

    The image generation project aims to generate realistic fashion images using a Generative Adversarial Network (GAN). It leverages TensorFlow to train the model and generate new images based on the โ€ฆ

    Jupyter Notebook

  4. Solar-Panel-Defect-Detection Solar-Panel-Defect-Detection Public

    Detection of Solar Panel Defects using Physical and Thermal Images

    Jupyter Notebook 2 2

  5. Clustering-with-FiftyOne Clustering-with-FiftyOne Public

    This project demonstrates how to structure unstructured visual data using clustering techniques with FiftyOne and Scikit-learn. We use CLIP embeddings and UMAP for dimensionality reduction and visuโ€ฆ

    Python

  6. Regression-Algorithms-Implementation Regression-Algorithms-Implementation Public

    This project implements various regression algorithms to provide a comprehensive understanding of regression techniques.

    Jupyter Notebook