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latteine1217/README.md

Hi 👋, I'm Junyi Li

Scientific Machine Learning · CFD · Scientific Computing


🧑‍💻 About Me

  • 🎓 M.S. student at National Tsing Hua University (NTHU), Applied CFD & Heat Transfer Lab.
  • 🔬 Working on physics-informed machine learning for turbulent-flow reconstruction.
  • 🧠 Interested in Scientific Machine Learning, Neural Operators, PINNs, CFD, and numerical PDEs.
  • ⚡ Mainly working with JAX / Flax, PyTorch, and GPU computing.
  • 🖥️ Also interested in HPC and scalable scientific computing.
  • 🔧 Most of my repositories are research implementations, numerical experiments, and reproducible benchmarks.

🤝 Connect

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  1. pi-lnn-jax pi-lnn-jax Public

    PI-CON: physics-informed continuous-time operator for sparse-sensor turbulent-flow reconstruction (JAX/Flax)

    Python

  2. CodefyUI/CodefyUI CodefyUI/CodefyUI Public

    A visual, node-based deep learning pipeline builder for education. Design CNN, RNN, Transformer, and RL architectures by dragging and connecting nodes — no boilerplate code needed.

    Python 17 9

  3. quabla quabla Public

    Rust-native SciML compiler and runtime with composable autodiff and CPU/CUDA/MLX backends

    Rust

  4. pourover-physics pourover-physics Public

    Physics model of V60 pour-over coffee fitted to real brews: Darcy flow through a swelling, clogging coffee bed, particle-size-resolved extraction and heat loss, calibrated on frame-by-frame brew-vi…

    Python

  5. jaxpi jaxpi Public

    Forked from PredictiveIntelligenceLab/jaxpi

    Python

  6. NSFnet NSFnet Public

    Forked from Scien42/NSFnet

    PINNs for 2D Incompressible Navier-Stokes Equation

    Jupyter Notebook