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dino65-dev/README.md

Greetings

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animated hello👋 𝓘'𝓶 𝓓𝓲𝓷𝓶𝓪𝔂!

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~💻 𝓐𝓫𝓸𝓾𝓽 𝓜𝓮~

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  • 🎓 Currently studying at IIT Guwahati
  • 🧠 Passionate about AI, Quantum Computing, and Biotechnology
  • ⚙️ I’m currently working on an exciting project: lox
  • 💡 I plan to work in future on creating an Artificial Brain using AI and quantum mechanics
  • 🛠 Skilled in Python, AI development






~🚀 𝓟𝓻𝓸𝓳𝓮𝓬𝓽𝓼~

  • Cuda_ML_Library: CUDA-powered ML library that makes GPU-accelerated machine learning in Python easy and accessible.
  • flash_attention: Flash Attention implementation from scratch using CUDA + Python for high-performance attention computation.
  • Transformers: Transformers built from scratch with GQA, RoPE, and RMSNorm, then trained end-to-end.
  • Universal_Transformers: Decoder-only Universal Transformer architecture implemented in pure Python.
  • REPO-Attention: Implementation inspired by Sakana AI’s RePo (Context Re-Positioning for language models).
  • TRM-Tiny-Recursive-Model: Tiny recursive model implementation focused on compact, experimental ML architecture design.
  • MIRNET_plus_ESRGAN: Low-light enhancement + super-resolution pipeline in Jupyter Notebook.
  • More projects coming soon...






~🧰 𝓣𝓮𝓬𝓱𝓷𝓸𝓵𝓸𝓰𝓲𝓮𝓼 & 𝓣𝓸𝓸𝓵𝓼~

C C++ Java Markdown Python Solidity Azure DigitalOcean Vercel nVIDIA FastAPI Flask OpenCV Streamlit MongoDB MySQL Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitLab CI Git GitHub Actions GitHub Power Bi




~📈 𝓖𝓲𝓽𝓗𝓾𝓫 𝓢𝓽𝓪𝓽𝓼~




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📫 𝙃𝙤𝙬 𝙩𝙤 𝙧𝙚𝙖𝙘𝙝 𝙢𝙚

  • Email: [email protected]

  • GitHub: dino65-dev

  • ⚡ Fun fact: I can talk about neural networks and CRISPR over coffee like it’s casual small talk!

    Thanks for visiting! 😄

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  1. Cuda_ML_Library Cuda_ML_Library Public

    This is a Cuda applied ML Library so that anyone can use GPU Powered ML with Ease in Python.

    Cuda

  2. flash_attention flash_attention Public

    Flash attention implementation from scratch.

    Cuda

  3. TRM-Tiny-Recursive-Model TRM-Tiny-Recursive-Model Public

    Python

  4. Transformers Transformers Public

    Transformers from scratch implemented GQA,RoPE,RMS-Norm and trained on that code

    Jupyter Notebook