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Making machines learn
πŸ˜‡
Making machines learn

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anujdutt9/README.md

Hi πŸ‘‹ I am Anuj!

I am aspiring AI developer who is passionate about deep learning and it's efficient deployment on mobile and low power embedded devices. I love to work with technologies including TensorFlow, PyTorch, TensorFlow.js, CoreML, TFLite, STM32F4/F7/L4 to name a few. Please feel free to reach out to me πŸ™‚

  • πŸ”­ I’m currently working on Computer Vision and Multi-Modal LLM's.
  • ⚑ I’m interested in the area of EdgeAI and Computer Vision.
  • 🌱 I’m currently learning how to compress and optimize neural networks for embedded/mobile devices.
  • πŸ‘― I’m always open to meaningful collaborations.
  • πŸ˜„ Pronouns: He/His
  • πŸ“« More details: anujdutt9.github.io
🀝 Connect with me

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  1. AI-Chatbot AI-Chatbot Public

    AI Chatbot using Dynamic Memory Network in Keras.

    Python 65 16

  2. iOS-ARKit iOS-ARKit Public

    Basic Concepts and Projects using ARKit on iOS.

    Swift 26 11

  3. Feature-Selection-for-Machine-Learning Feature-Selection-for-Machine-Learning Public

    Methods with examples for Feature Selection during Pre-processing in Machine Learning.

    Jupyter Notebook 364 164

  4. multi-tenant-llm-serving multi-tenant-llm-serving Public

    A multi-tenant LLM serving system with fair queuing, admission control, prefix-aware routing, and reproducible H100 benchmarks.

    Python 1

  5. tinyharness tinyharness Public

    A minimal, configurable, coding agent LLM harness in Python.

    Python

  6. Disease-Prediction-from-Symptoms Disease-Prediction-from-Symptoms Public

    Disease Prediction based on Symptoms.

    Jupyter Notebook 345 207