Different forms of attention mechanisms, used in modern diffusion models.
Learnings from streamlining the PyPI releases of 🧨 Diffusers.
Some tidbits of migrating from fastpages to Quarto.
Thoughts on learning and exercising ML skills.
Sharing my perspective on two primary questions related to Google Summer of Code.
Converting PyTorch ConvNeXt models to TensorFlow and publishing them on TF-Hub.
Training a model using distributed training with AI Platform and Docker.
This post shows how to build and install OpenCV 4.5.0 on a MacBook Pro that comes with an M1 chip.
This post compares two Deep Learning-based text detectors CRAFT and EAST with respect to deployment-specific requirements.
Learn about the criticalities of effectively optimizing MobileDet object detectors for mobile deployments.
Practising being a maker with Google Cloud Platform’s ML APIs.
This blog post enlists a few of my favorite recipes in deep learning in the context of computer vision (as of August 2020).
Accelerating inference of TensorFlow models using TensorRT.
tf.keras
Learn about different ways of doing data augmentation when training an image classifier in tf.keras.
A few tips on sharing your work online effectively.
Learn how to embed an image preprocessing function in a tf.keras model.
