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

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sayakpaul/README.md

My name is Sayak Paul! 👾

  • 🔭 I’m currently working at Carted on computer vision and deep learning.
  • 🌱 I’m interested in the area of self-supervised representation learning.
  • 👯 I’m always open to meaningful collaborations.
  • 😄 Pronouns: He/His.
  • ⚡ 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 and 2021).
  • 📫 More details - sayak.dev.

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

Pinned

  1. Contains code for the paper "Vision Transformers are Robust Learners".

    Jupyter Notebook 57 8

  2. Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

    Jupyter Notebook 41 7

  3. PAWS-TF Public

    Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.

    Jupyter Notebook 36 5

  4. Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

    Jupyter Notebook 63 6

  5. Contains materials for workshops pertaining to adversarial robustness in deep learning.

    Jupyter Notebook 72 36

  6. TensorFlow Lite models for MIRNet for low-light image enhancement.

    Jupyter Notebook 98 18

Contribution activity

November 2021

Created 1 repository
Reviewed 1 pull request in 1 repository
soumik12345/point-cloud-segmentation 1 pull request

Incorporating TFMA

@rcrowe-google I have been thinking about ways to incorporate TFMA for the evaluation part. Currently, we run batch prediction in order to gather t…

2 comments
Opened 1 other issue in 1 repository
liyunsheng13/micronet 1 open
22 contributions in private repositories Nov 1 – Nov 4

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