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jorgemunozl
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Getting excited

Jorge Munoz Lar jorgemunozl

Getting excited
@dianamunozlar I like neural networks, computational quantum mechanics, Arch , GPU's, robotics, R. Feynman, Deep Learning @Pymut @karpathy @google-deepmind

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jorgemunozl/README.md

Hi there, I'm Jorge Munoz

About Me

I like STEM, the Feynman a-like thinking is glorious. Combining mathematics , programming and suffer to solve any kind of problem is fun. Although it's a pain in the ass effort but pretty rewarding.

Richard Feynman playing the bongos, the most clever person that this world has ever known ! ->

Languages & Libraries

Research & Projects

How to Reach Me

"It has to do with curiosity, it has to do with people wondering what make something do something"

GitHub Stats:


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  1. psiformer_torch psiformer_torch Public

    self-attention neural torch ansatz for electronic structure calculations introduced in the paper "A Self-attention Ansatz for ab initio Quantum Chemistry" from Google Deep Mind.

    TeX 9

  2. Finetunning-Llama-Vision-11b Finetunning-Llama-Vision-11b Public

    Inference and finnetunning of a VLM (LLama Vision 11b) using the Unsloth, PEFT libraries and torch.

    Python 7

  3. HeatEquationPINN HeatEquationPINN Public

    An implementation of a Physics-Informed Neural Network (PINN) for solving the heat equation subject to zero Neumann boundary conditions.

    Python 6

  4. arch-nvim-latex arch-nvim-latex Public

    Automated setup for Vim + LaTeX on Arch Linux. Provides preconfigured installation profiles (light / medium / full) with sane defaults. Zero manual tweaking required after install and even debug.

    Lua 8

  5. Synthetic-Data Synthetic-Data Public

    Agentic -powered synthetic data generator that creates flowcharts using LangGraph orchestration. Features FastAPI integration, OpenAI LLM processing, and automated Mermaid diagram generation.

    Python 7

  6. syncZ syncZ Public

    File sync tool with bidirectional sync, PDF search integration. handwritten with Okular supports Ubuntu and Arch

    Python 5