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@deep-diver

Chansung Park

deep-diver
South Korea

I'm Chansung, a machine learning researcher and open-source enthusiast from South Korea. I'm passionate about democratizing AI and making its benefits accessible to all. Through my projects, I aim to empower individuals and organizations to leverage the power of machine learning.

My current focus is on:

  • LlamaDuo: addresses the importance of open weight language models. This project shows the seamless migration from service language models (i.e. ChatGPT) to open weight local language models (i.e. Gemma).
  • AI Paper Reviewer: delivers comprehensive blog posts to understand recent breakthroughs in the field of AI. This project automatically generates blog posts about AI papers by leveraging the state of the art generative models. Paper Reviewer is a sibling project that powers AI Paper Reviewer.
  • HF Daily Paper Newsletter: sends out the daily newsletter about the list of papers of the recently published papers in the field of AI. The brief paper summaries and tags are generated by generative models, and the are archived in the repository automatically.
  • ML Deployment K8s TFServing: benchmarks the load tests of a CNN model with TFServing, FastAPI on k8s environment.

Your sponsorship will directly support the development and maintenance of these projects, allowing me to dedicate more time to research, improve features, and expand their reach. With your support, I can scale up my infrastructure to handle increased demand and provide faster, more reliable services.

Join me on this journey! Your sponsorship, no matter the size, will make a real difference in making AI more accessible and beneficial for everyone.

@deep-diver

Reaching this goal will keep me motivated to help the ML communities.

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Featured work

  1. deep-diver/ml-deployment-k8s-tfserving

    This project shows how to serve an TF based image classification model as a web service with TFServing, Docker, and Kubernetes(GKE).

    Jupyter Notebook 120
  2. deep-diver/semantic-segmentation-ml-pipeline

    Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products

    Jupyter Notebook 93
  3. deep-diver/mlops-hf-tf-vision-models

    MLOps for Vision Models (TensorFlow) from 🤗 Transformers with TensorFlow Extended (TFX)

    Jupyter Notebook 115
  4. deep-diver/keras-sd-serving

    showing various ways to serve Keras based stable diffusion

    Jupyter Notebook 109
  5. deep-diver/LLM-As-Chatbot

    LLM as a Chatbot Service

    Python 3,295
  6. deep-diver/hf-daily-paper-newsletter

    Newsletter bot for 🤗 Daily Papers

    HTML 107

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