Optimizing flow-based image and video generation models beyond just speed.
Different forms of attention mechanisms, used in modern diffusion models.
Learnings from streamlining the PyPI releases of 🧨 Diffusers.
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.
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.
tf.keras
Learn about different ways of doing data augmentation when training an image classifier in tf.keras.
Check them here.
