Open in app

Sign In

Write

Sign In

Sayak Paul
Sayak Paul

732 Followers

Home

About

Published in Google Developer Experts

·Mar 22

[ML Story] DreamBoothing Your Way into Greatness

With the advent of text-to-image generation models (like DALL-E 2, Stable Diffusion, Imagen, and Parti), the definition of “what’s possible” has definitely gotten a new edge. Even though these models often come with impressive capabilities across different facets of creativity, they often lack subject-specific personalization. Consider the following image as…

Deep Learning

4 min read

[ML Story] DreamBoothing Your Way into Greatness
[ML Story] DreamBoothing Your Way into Greatness
Deep Learning

4 min read


Published in Google Developer Experts

·Jul 17, 2022

Load-testing TensorFlow Serving and FastAPI on GKE

By Chansung Park and Sayak Paul (ML-GDEs) In this post, we’ll share the lessons and findings learned from conducting load tests for a Deep Learning model across numerous deployment configurations. These configurations involve REST-based deployments with FastAPI and TensorFlow Serving. …

Tfserving

9 min read

Load-testing TensorFlow Serving and FastAPI on GKE
Load-testing TensorFlow Serving and FastAPI on GKE
Tfserving

9 min read


Published in Google Developer Experts

·Nov 24, 2020

Create Artistic Effect by Stylizing Image Background — Part 2: TensorFlow Lite Models

In the previous post, Margaret introduced the project covering different scenarios where it could be useful along with other technical objectives. In this post, we will provide some more details about the models we used, some major bits from their conversion process in TensorFlow Lite (TFLite), and the benchmarking results…

Artificial Intelligence

7 min read

Create Artistic Effect by Stylizing Image Background — Part 2: TensorFlow Lite Models
Create Artistic Effect by Stylizing Image Background — Part 2: TensorFlow Lite Models
Artificial Intelligence

7 min read


Oct 6, 2020

An interview with Dan Hendrycks, Ph.D. student at UC Berkeley

Our interviewee today is Dan who is a third-year Ph.D. student in Computer Science at UC Berkeley. Dan is primarily interested in Machine Learning Safety. Some of his notable works include the GELU activation function, the activation function used in BERT and GPT. …

Machine Learning

7 min read

An interview with Dan Hendrycks, Ph.D. student at UC Berkeley
An interview with Dan Hendrycks, Ph.D. student at UC Berkeley
Machine Learning

7 min read


Aug 24, 2020

An interview with Vincent Sitzmann, Postdoctoral Researcher at MIT

We have Vincent Sitzmann for today’s interview! Vincent is a Postdoctoral Researcher at MIT’s CSAIL and he just completed his Ph.D. at Stanford. Vincent’s research interests lie in the area of neural scene representations — the way neural networks learn to represent information on our world. One of Vincent’s works…

Deep Learning

10 min read

An interview with Vincent Sitzmann, Postdoctoral Researcher at MIT
An interview with Vincent Sitzmann, Postdoctoral Researcher at MIT
Deep Learning

10 min read


Jun 26, 2020

An interview with Alexander (Sasha) Rush, Associate Professor at Cornell University

For today’s interview, we have Alexander M. Rush with us. Alexander is currently an Associate Professor at Cornell University where his research group studies several areas of NLP such as text generation, document-level understanding, and so on. They also work on open-source developments such as OpenNMT. Alexander’s research work has…

NLP

8 min read

An interview with Alexander (Sasha) Rush, Associate Professor at Cornell University
An interview with Alexander (Sasha) Rush, Associate Professor at Cornell University
NLP

8 min read


Published in Towards Data Science

·Jun 21, 2020

Model Pruning in Deep Learning

This article discusses pruning techniques in the context of deep learning. — This article is the successor to my previous article on Quantization. In this article, we’re going to go over the mechanics of model pruning in the context of deep learning. Model pruning is the art of discarding those weights that do not signify a model’s performance. …

Production Ml

12 min read

Model Pruning in Deep Learning
Model Pruning in Deep Learning
Production Ml

12 min read


May 29, 2020

An interview with Niki Parmar, Senior Research Scientist at Google Brain

I am pleased to have Niki Parmar for today’s interview. Niki is a Senior Research Scientist at Google Brain where she is involved in research related to self-attention and extending that to different applications in both language and vision. …

Google Developer Experts

6 min read

An interview with Niki Parmar, Senior Research Scientist at Google Brain
An interview with Niki Parmar, Senior Research Scientist at Google Brain
Google Developer Experts

6 min read


Published in Google Developer Experts

·May 24, 2020

GDE Journey — Sayak Paul

Highlights about the experiences I gathered throughout the GDE program in one year. — I first came across the term “Google Developers Expert” (GDE) back in 2018 during DevFest Kolkata where a GDE in Flutter Pawan Kumar gave a talk. After going through the details of the program I got immensely interested to join it. …

I Am A Gde

6 min read

GDE Journey — Sayak Paul
GDE Journey — Sayak Paul
I Am A Gde

6 min read


May 15, 2020

An interview with Colin Raffel, Research Scientist at Google

I am pleased to have Colin Raffel for today’s interview. Colin is currently working as a Research Scientist at Google. Colin’s research interests broadly lie in areas like learning with limited labeled data, transfer learning, especially from an NLP context. …

Google Developer Experts

7 min read

An interview with Colin Raffel, Research Scientist at Google
An interview with Colin Raffel, Research Scientist at Google
Google Developer Experts

7 min read

Sayak Paul

Sayak Paul

732 Followers

ML at 🤗 | Netflix Nerd | Personal site: https://sayak.dev/

Help

Status

Writers

Blog

Careers

Privacy

Terms

About

Text to speech