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shre-db/README.md

Shreyas

Deep Learning Engineer

I'm an engineer with a passion for physics, artificial intelligence, and data science. My skills include programming in Python and Julia; experience with machine learning libraries such as Scikit-Learn and PyTorch; and knowledge of data analysis and applied math.

I've developed a form of artificial curiosity in feed-forward networks for enhanced image classification, and I'm excited about exploring new ways to apply machine learning to solve real-world problems. In physics and engineering, I've developed a "Two-Point Masses" model which serves as a theoretical framework for designing frictionless braking systems based on the principle of conservation of angular momentum.

Currently, I specialize in generative adversarial networks (GANs), image inpainting systems like LaMa (large mask inpainting system), and deep learning-based image segmentation systems. I'm enthusiastic ⚡ about using my skills and knowledge to contribute to science, and I'm always looking for new opportunities to collaborate with others. If you're interested in learning more about my work, feel free to reach out and connect with me or explore my projects. Let's see where we can take our shared interests! 😃

Skills

Python PyTorch PyTorch-Lightning Julia NumPy Pandas Matplotlib Seaborn Scikit-Learn Hugging Face OpenCV  Linux Docker Git  MLflow AWS Streamlit Hydra HTML5 CSS3 PostgreSQL Flask Power BI Excel Jira Notion

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  1. A-Curious-FFN A-Curious-FFN Public

    This project utilizes Artificial Curiosity in a Feed-Forward Network to recognize manipulated images.

    Jupyter Notebook

  2. OCT-Retinal-Disease-Detection-CNN OCT-Retinal-Disease-Detection-CNN Public

    Retinal disease detection using optical coherence tomography (OCT) and deep neural networks.

    Jupyter Notebook 1 2

  3. United-States-Coal-Usage-Classification United-States-Coal-Usage-Classification Public

    This end-to-end machine learning project is focused on analyzing coal usage in the United States from 2001 to 2021 and classifying coal using data gathered from the U.S. Energy Information Administ…

    Jupyter Notebook 1

  4. Image-Compression-SVD Image-Compression-SVD Public

    A web service for image compression using singular value decomposition (SVD).

    Jupyter Notebook

  5. Stateful_Transformers Stateful_Transformers Public

    Custom Scikit-Learn based Transformers and Pipelines for Feature Engineering.

    Python

  6. IMDB-Sentiment-Analysis-Hugging-Face-Transformer IMDB-Sentiment-Analysis-Hugging-Face-Transformer Public

    Jupyter Notebook