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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.
  • 👯 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.

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  1. huggingface/diffusers huggingface/diffusers Public

    🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

    Python 26.3k 5.4k

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

    Code for instruction-tuning Stable Diffusion.

    Python 212 20

  3. robustness-vit robustness-vit Public

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

    Jupyter Notebook 124 18

  4. probing-vits probing-vits Public

    Probing the representations of Vision Transformers.

    Jupyter Notebook 316 18

  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 197 35

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

    showing various ways to serve Keras based stable diffusion

    Jupyter Notebook 109 5