Sayak Paul
With PyImageSearch working at the intersection of Deep Learning & Computer Vision.
Education
B.Tech in Information Technology from Netaji Subhash Engineering College
Work
Deep Learning Associate at PyImageSearch
GitHub Repositories
TF-2.0-Hacks
Contains my explorations of TensorFlow 2.x
Jupyter Notebook • 381 stars
A-B-testing-with-Machine-Learning
Implemented an A/B Testing solution with the help of machine learning
Jupyter Notebook • 40 stars
Blood-Cell-Detection-using-TFOD-API
This project demonstrates the use of TensorFlow Object Detection API (along with GCP ML Engine) to automatically detect Red Blood Cells (RBCs), White Blood Cells (WBCs), and Platelets in each image taken via microscopic image readings
Jupyter Notebook • 23 stars
Generating-categories-from-arXiv-paper-titles
This project takes the arXiv dataset and builds an automatic tag classifier from the arXiv article/paper titles
Jupyter Notebook • 13 stars
FloydHub-Q-Learning-Blog
Contains the Jupyter Notebook made for a FloydHub article on Q-Learning
Jupyter Notebook • 12 stars
Mixed-Precision-Training-in-tf.keras-2.0
This repository contains notebooks showing how to perform mixed precision training in tf.keras 2.0
Jupyter Notebook • 12 stars
Badges
Four Year Club
This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least four years.
Three Year Club
This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least three years.
Two Year Club
This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least two years.
One Year Club
This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least one year.
Skills/Languages
- Python
- Machine Learning
- Deep Learning
- Computer Vision
- On-device Deep Learning
- Google Cloud Platform
Currently learning
- MLOps
- Test cases for Machine Learning
- Self-supervised Learning
Currently hacking on
https://github.com/sayakpaul/TF-2.0-Hacks/
Available for
I run an interview series here: https://www.sayak.dev/interviews. These interviews help people discover insights from scientists, practitioners, researchers working in Machine Learning in general.
I love to take part in meaningful conversations be it about Machine Learning, be it about life in general.
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