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mxchinegod/README.md

Hello 👋, I'm Dylan

husband, programmer and machine learning researcher.

dylanalloy

  • 🔭 I’m currently occupied making real time data pipelines at the edge for energy extraction.

  • 🌱 I’m currently learning about distributed LLMs & embeddings

  • 👯 I’m looking to collaborate on sharing training data using blockchains

  • 🤝 I’m looking for help with 3D printing & CAD

  • 💬 Ask me about product engineering

Connect with me:

3033977

Languages and Tools:

android aws azure bash bootstrap canvasjs chartjs cplusplus csharp css3 d3js django docker dotnet elasticsearch electron express flask gcp git hexo html5 javascript kibana kubernetes linux mariadb mongodb mssql mysql nginx nodejs opencv oracle pandas photoshop php postman puppeteer python pytorch qt redis scikit_learn seaborn selenium sqlite tensorflow vagrant vuejs

 mxchinegod

mxchinegod

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  1. digits digits Public

    DigitsUI is a highly configurable and ML-leveraged quantitative analysis platform for options traders and aspiring market makers 😉

    TypeScript 7 4

  2. digits-api-main digits-api-main Public

    digits-api-main is the authentication, preprocessing, and tertiary API bridge in the Digits service mesh.

    JavaScript 1

  3. digits-api-ml digits-api-ml Public

    digits-api-ml is a large suite of API endpoints that directly respond with the inference of a given machine learning function.

    Python 2 1

  4. digits-helm-chart digits-helm-chart Public

    The official helm chart repository for open-source market analysis platform, Digits.

    1

  5. A token matrix visualization represe... A token matrix visualization representing the importance a token has in multi-headed attention layers in transformers like GPT-2
    1
    import torch
    2
    from transformers import GPT2Tokenizer, GPT2Model
    3
    import matplotlib.pyplot as plt
    4
    import numpy as np
    5
    from matplotlib.animation import FuncAnimation
  6. swan_scrape swan_scrape Public

    High-efficiency text & file scraper with smart tracking for building language model datasets.

    Jupyter Notebook 2