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Esmail-ibraheem/README.md

Hi there 👋 Focused on sophisticated neural nets, I enjoy bringing theoretical AI research papers to life by translating them into practical implementations. For more check my website

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  1. nanograd nanograd Public

    nanograd🧠 deep learning and neural net ecosystem, run models like GPT, llama, stable diffusion, vision transformer, reinforcement learning, autotrainer, your Unreal Engine, but for AI, essentially …

    Python 5 1

  2. Axon Axon Public

    AI research lab🔬: implementations of AI papers and theoretical research: InstructGPT, llama, transformers, diffusion models, RLHF, etc...

    Python 17 3

  3. LlTRA-Model LlTRA-Model Public

    Language to Language Transformer model from scartch using pure Pytorch where I used my transformer model for translation task. from the paper "Attention is all you Need" 2017 using pytorch.

    Jupyter Notebook 7 2

  4. Stable-Diffusion Stable-Diffusion Public

    🎨"Denoising Diffusion Probabilistic Models" paper implementation. a stable diffusion engine: using pytorch as a backend and fastAPI as frontend using javascript, and slo providing gradio interface

    Python 9 1

  5. Tinyllamas Tinyllamas Public

    Tinyllamas🦙 is an Extensible advanced language model framework, inspired by the original Llama model.

    Python 6 2

  6. llms-server llms-server Public

    llms server, decentralized (local) llms to run in your computer privately, host ALL your AI locally

    Dockerfile 16 2