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Astraflaneur/README.md

Hi, I'm Sagar 👋

I’m an AI researcher working on continual learning, efficient deep learning, and quantum-inspired models. I do enjoy working on high perforamnce computing and 3d modelling as well.

Research Interests

  • Continual & lifelong learning
  • Efficient architectures (compression, pruning, low-rank methods)
  • Quantum & hypercomplex neural networks
  • GPU/parallel algorithms

Get in touch

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  1. PINN-KT PINN-KT Public

    Finite Volume Methods for Physics Informed Neural Network

    Jupyter Notebook 3 1

  2. DART-LLMs DART-LLMs Public

    DART-LLM dynamically tunes tensor-train ranks during fine-tuning to compress large language models. By combining differentiable regularization with a discrete rank selection mechanism, it prunes re…

    Python

  3. EBGE EBGE Public

    Electronic Band Gap Estimation (EBGE) predicts the electronic band gap energy and band gap type (direct or indirect) of materials using machine learning models based on easily determinable material…

    Jupyter Notebook

  4. InfoGate-Continual-Learning InfoGate-Continual-Learning Public

    Jupyter Notebook

  5. ToricCodeSimulation ToricCodeSimulation Public

    Repository for hosting various quantum error correction circuits and codes.

    Jupyter Notebook