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:octocat:
Learn, unlearn and relearn.
:octocat:
Learn, unlearn and relearn.

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@huggingface @all-things-vits
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sayakpaul/README.md

My name is Sayak Paul! 👾

  • 🔭 I work on 🧨 diffusion models at Hugging Face 🤗
  • 🌱 I’m interested in the area of representation learning (self-supervision, semi-supervision, model robustness).
  • 👯 I’m always open to meaningful collaborations.
  • ⚡ Fun fact: I love watching crime and action thrillers (The Silence of the Lambs being an all-time favorite one).
  • 🙃 Recepient of the Google Open Source Peer Bonus Award (2020, 2021, and 2022). Also received the TensorFlow Top Contributor Award 2021.
  • 📫 More details - sayak.dev.

Following are some of my favorite repositories that I have contributed to and/or contribute to.

Pinned

  1. huggingface/instruction-tuned-sd huggingface/instruction-tuned-sd Public

    Code for instruction-tuning Stable Diffusion.

    Python 178 20

  2. huggingface/diffusion-fast huggingface/diffusion-fast Public

    Faster generation with text-to-image diffusion models.

    Python 140 6

  3. robustness-vit robustness-vit Public

    Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

    Jupyter Notebook 120 17

  4. probing-vits probing-vits Public

    Probing the representations of Vision Transformers.

    Jupyter Notebook 296 17

  5. ml-deployment-k8s-fastapi ml-deployment-k8s-fastapi Public

    This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.

    Jupyter Notebook 177 30

  6. deep-diver/keras-sd-serving deep-diver/keras-sd-serving Public

    showing various ways to serve Keras based stable diffusion

    Jupyter Notebook 108 5