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Sunilyadav03/README.md

๐Ÿ‘‹ Hi there, I'm Sunil Kumar Yadav (@sunil003)!

๐ŸŽ“ Final-Year MSc Data Science Student @ the Defence Institute of Advanced Technology(DIAT), DRDO, Pune.
๐Ÿ’ป AI Researcher | Machine Learning Enthusiast | Data Science Enthusiast
๐Ÿš€ Passionate about solving complex problems using Data Science, Machine Learning, and Deep Learning.


๐ŸŒŸ About Me

I am a data science student currently specializing in Continual Learning, with a focus on:

  • Continual Learning for Regression Tasks (CLeaR)
  • Regularization-Based Techniques (e.g., Elastic Weight Consolidation - EWC)
  • Architecture-Based Techniques (e.g., Progressive Neural Networks - PNN)
  • Replay-Based Techniques

Additionally, I have been working on multiple projects involving:

  • Large Language Models (LLMs)
  • Optical Character Recognition (OCR)
  • Deepfake Image Detection using VGG, ResNet, InceptionNet and other own custom architectures.

Profile Views

๐Ÿ›  Languages and Tools

Python PyTorch[ Pandas Matplotlib Scikit-Learn Seaborn VS Code Git R


๐Ÿ” What Iโ€™m Interested In

  • Machine Learning & Deep Learning: Building and improving models to solve real-world problems.
  • Continual Learning: Exploring techniques like EWC, PNN, and Replay-Based Methods to enable models to learn continuously without forgetting.
  • Generative Models: Working with GANs, VAEs, and Diffusion Models to push the boundaries of AI creativity.

๐ŸŒฑ What Iโ€™m Currently Learning

  • LLMs: Novel approaches to build domain specific LLM models.
  • Advanced NLP: Deepening my knowledge of Transformer Models like GPT.
  • Generative AI: Exploring cutting-edge advancements in GANs, VAEs, and Diffusion Models.

๐Ÿ“‚ Projects

Continual Learning

  • Continual Learning for Regression Tasks (CLeaR): Extending continual learning to regression problems.
  • Elastic Weight Consolidation (EWC): Regularization-based approach to prevent catastrophic forgetting.
  • Progressive Neural Networks (PNN): Architecture-based method for continual learning.
  • Replay-Based Techniques: Using stored data to retain knowledge.

Deepfake Detection

  • Developing models using VGG, ResNet, and Own Custom Architectures to detect deepfake images with high accuracy.

Large Language Models (LLMs)

  • Exploring LLMs for various NLP tasks, including text generation, summarization, and question-answering.

Optical Character Recognition (OCR)

  • Building robust OCR systems to extract text from images and documents.

๐Ÿ“ซ How to Reach Me

๐Ÿ“ง Email: [email protected]

๐Ÿ”— LinkedIn: Letโ€™s Connect!

๐Ÿ™ GitHub: @sunil003)

๐Ÿ”— Medium: Sunil


๐Ÿš€ Letโ€™s Build the Future of AI Together!

I am always open to collaborating on exciting projects and discussing new ideas in AI, ML, and Data Science. Feel free to reach outโ€”letโ€™s create something amazing!


โญ๏ธ Star this repo if you find it interesting! โญ๏ธ


Thank you for visiting my profile! ๐Ÿ˜„

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  1. Agents Agents Public

    Innovative AI agent implementations using LangGraphโ€”featuring ReAct, RAG (Corrective, Self, Agentic), chatbots, microagents, and more, with multi-AI agent systems on the horizon! ๐Ÿค–๐Ÿš€

    Jupyter Notebook

  2. Agent-AI Agent-AI Public

    Forked from agno-agi/agno

    Build multi-modal Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI.

    Python

  3. Langchain Langchain Public

    Open-source LangChain toolkit with custom Chains, ChatModels, Embeddings, and Output Parsers. Build powerful AI workflows effortlessly. Perfect for developers and businesses leveraging LLMs.

    Python

  4. DeepFake-Image-Detection DeepFake-Image-Detection Public

    This repository provides a robust solution for detecting deepfake images using state-of-the-art deep learning models like VGG16, VGG19, InceptionV3, and ResNet50. this open-source tool is ready to โ€ฆ

    Jupyter Notebook 1

  5. Military_AirCraft_Classification Military_AirCraft_Classification Public

    Forked from BBEK-Anand/Military_AirCraft_Classification

    Jupyter Notebook

  6. Aadhar_OCR Aadhar_OCR Public

    Python