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sayakpaul (Sayak Paul) · GitHub

Learn, unlearn and relearn.

Learn, unlearn and relearn.

• 🔭 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.

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

   Python 28.9k 5.9k

2. Code for instruction-tuning Stable Diffusion.

   Python 233 19

3. Memory-optimized training library for diffusion models

   Python 1.1k 124

4. Probing the representations of Vision Transformers.

   Jupyter Notebook 324 20

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

   Jupyter Notebook 215 39

6. https://blog.tensorflow.org/2021/12/continuous-adaptation-for-machine.html

   Jupyter Notebook 30 6

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