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ディープラーニング

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Ryukijano/README.md

Hi, I'm Gyanateet Dutta

Quantum Computing | Machine Learning for Sciences | Computer Vision & Robotics

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Website Email

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Research Focus

Graduate student in Computer Science & AI at the University of Leeds, with research interests at the intersection of quantum computing, machine learning, and computer vision. Currently working on practical applications of quantum algorithms and self-supervised learning methods for real-world problems. Proud Qiskit Advocate contributing to the quantum open-source community.


πŸ“Š GitHub Stats Overview


πŸ”₯ Contribution Streak & Activity

GitHub Streak

Ryukijano's GitHub Activity Graph


πŸ› οΈ Tech Stack

Languages & Frameworks

Quantum & Scientific Computing

Qiskit TORAX PennyLane NumPy SciPy TKET CUDA-Q CUDA C++

ML & Deep Learning

JAX scikit-learn Keras Candle OpenCV

Tools & Platforms

SLURM IBM Quantum CUDA HuggingFace AWS GCP Azure Isaac Sim MuJoCo Blender


πŸ† GitHub Trophies

trophies


🎯 Recent Work

Project Description

| My paper "Self-supervised Transformers for surgical phase recognition" has been accepted for ISBI 2026. | 🧬 Bradford Quantum Hackathon 2025 (Winner) | Quantum-classical hybrid system for genomic sequence prediction | | πŸ€– Gemma-GR00T Vision-Language-Action | Compact VLA policy for robotic manipulation with SigLIP + Gemma 3 + ScaleDP | | πŸ† City of London Mayor Quantum Hackathon (Finalist) | IBM quantum computing applications | | πŸ”¬ Vision Research Intern @ Leeds | Self-supervised learning for medical imaging and robotics |


πŸ’‘ Current Work

πŸ”¬ Vision Research Intern @ University of Leeds

  • Self-supervised learning in computer vision for medical imaging applications
  • Vision-language models and perception systems for robotics
  • 3D reconstruction using Neural Radiance Fields (NeRFs) and 3D Gaussian Splatting

🎯 Research Interests:

  • Quantum algorithms and error correction
  • Quantum-hardware co-design with error correction stack
  • Machine learning for solving problems in sciences
  • Computer vision applications in healthcare and robotics
  • Physics-informed neural networks

πŸ’­ Random Dev Quote


🐍 Contribution Snake

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πŸ’¬ "Building practical quantum computing applications for real-world impact"

πŸ‘‰ Let's connect and collaborate on quantum computing and AI projects!

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  1. ESRGAN_AND_YOLOV7 ESRGAN_AND_YOLOV7 Public

    Implementation for the final year project and the paper Improved Pothole Detection Using ESRGAN and YOLOv7

    Jupyter Notebook 4

  2. Deep-Reinforcement-Learning-and-Hugging-Face Deep-Reinforcement-Learning-and-Hugging-Face Public

    Jupyter Notebook 1

  3. PyTorch-Differentiable-Stochastic-Differential-Equations PyTorch-Differentiable-Stochastic-Differential-Equations Public

    Implementations using torchSDE library from Google Research.

    Jupyter Notebook 1

  4. Pytorch-Vision-Transformer Pytorch-Vision-Transformer Public

    Vision Transformer implemented from scratch in Pytorch

    Jupyter Notebook 1

  5. B3tt3r B3tt3r Public

    A 3-D reconstruction paradigm combining Mast3r and Spann3r models to make it B3tt3r.

    Python 3 1

  6. Self.Diffusion Self.Diffusion Public

    Python scripts or notebooks of different implementation of small scale diffusion networks for prototyping and then experimented with different datasets.

    Jupyter Notebook 3