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Up to speed with the AMD Strix Halo

Setting up and getting up to speed with an AMD Strix Halo (Ryzen AI Max+ 395) mini-PC for local AI development.

Jul 7, 2026
11 min

Optimizing the Full Stack: Thoughts with Image and Video Generation Models

Optimizing flow-based image and video generation models beyond just speed.

Aug 11, 2025
21 min

Flavors of attention in modern diffusion models

Different forms of attention mechanisms, used in modern diffusion models.

Feb 27, 2025
16 min

Streamlining PyPI Releases: A Case Study with ๐Ÿงจ Diffusers

Learnings from streamlining the PyPI releases of ๐Ÿงจ Diffusers.

Mar 15, 2024
4 min

Better Hardware Provisioning for ML Experiments

How to use Terraform to provision cloud hardware for running ML experiments with Vertex AI Workbench.

Oct 7, 2022
Sayak Paul
11 min

Building an Efficient Machine Learning API

Techniques we used to build a performant and efficient product categorization endpoint for our product data pipeline.

Sep 2, 2022
Nilabhra Roy Chowdhury, Sayak Paul
13 min
 

Practicing ML in a Non-ML Job

Thoughts on learning and exercising ML skills.

May 27, 2022
9 min

Variable-Length Sequences in TensorFlow Part 3: Using a Sentence-Conditioned BERT Encoder

To conclude this series, we examine the benefits of using a sentence-conditioned BERT model for multi-sentence text data.

Apr 26, 2022
Nilabhra Roy Chowdhury, Sayak Paul
8 min

Variable-Length Sequences in TensorFlow Part 2: Training a Simple BERT Model

How to use a BERT model with variable-length text data while minimizing training time.

Apr 19, 2022
Nilabhra Roy Chowdhury, Sayak Paul
11 min

Variable-Length Sequences in TensorFlow Part 1: Optimizing Sequence Padding

We analyze the impact of sequence padding techniques on model training time for variable-length text data.

Apr 11, 2022
Nilabhra Roy Chowdhury, Sayak Paul
8 min
 

First Steps in GSoC

Sharing my perspective on two primary questions related to Google Summer of Code.

Mar 13, 2022
5 min

Improving Dataflow Pipelines for Text Data Processing

Recipes to improve Cloud Dataflow pipelines for large-scale datasets involving sequential text data.

Feb 10, 2022
Nilabhra Roy Chowdhury, Sayak Paul
14 min

Publishing ConvNeXt Models on TensorFlow Hub

Converting PyTorch ConvNeXt models to TensorFlow and publishing them on TF-Hub.

Feb 3, 2022
8 min

Building and Installing OpenCV 4.5.0 on an M1 Mac

This post shows how to build and install OpenCV 4.5.0 on a MacBook Pro that comes with an M1 chip.

Jan 1, 2021
5 min

A Battle of Text Detectors for Mobile Deployments: CRAFT vs. EAST

This post compares two Deep Learning-based text detectors CRAFT and EAST with respect to deployment-specific requirements.

Nov 27, 2020
Sayak Paul, Tulasi Ram Laghumavarapu
8 min

Optimizing MobileDet for Mobile Deployments

Learn about the criticalities of effectively optimizing MobileDet object detectors for mobile deployments.

Sep 29, 2020
12 min

Different data augmentation recipes in tf.keras for image classification

Learn about different ways of doing data augmentation when training an image classifier in tf.keras.

May 10, 2020
7 min
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