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BeeGass (Bryan) · GitHub

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BeeGass/README.md

  • 🔭 I’m currently working on HiPPO-Jax

  • 🌱 My research and interests are centered around:

    • Attention-free sequence modeling methods
    • Enhancing and further addressing long-context dependency in language and video processing.
    • Optimizing these models utilizing Jax/Flax and CUDA frameworks.

  • 👯 I’m looking to collaborate on research related to topics mentioned above

  • 🤝 I’m looking for help with HiPPO-Jax

  • 📝 I regularly write articles on my website

  • 💬 Ask me about ramen noodles, chalk, cafe racers, my current investment strategy, and soccer

  • 📫 How to reach me bryan@onlygass.dev

  • 📄 Know about my experiences from my resume

Connect with me:

Languages and Tools:

Machine Learning Tools:

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  1. HiPPO-Jax HiPPO-Jax Public

    Implementing and testing HiPPO and S4

    Python 5

  2. VAEs VAEs Public

    Reproducible code showing the various types of variational autoencoders I have implemented

    Python 3

  3. Agents Agents Public

    Reproducible results for the various types of reinforcement algorithms I have implemented

    Python 2

  4. jaxtyc jaxtyc Public

    Static array shape checking for JAX powered by eval_shape

    Python 2

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