Understanding StyleGAN1
In this article, we will go through the StyleGAN paper to see how it works and understand it in depth.
14 days ago
Computer Vision
Context Cluster: Image as Set of Points
In this tutorial, we understand the Context-Cluster model from Adobe and show how to train your own model with a ready-to-use codebase on the Gradient Notebook.
a month ago
Inverting Images in Generative Models: An Overview
In this blog post, we take a deeper look at the inversion techniques utilized by GANs to embed features and then manipulate them in the latent space,
a month ago
Exploring and Exploiting the Latent Style Space
In this article we look at the Style Space in StyleGAN models - a way for us to understand and identify style channels that control both local semantic regions and specific attributes defined by positive samples
2 months ago
Introducing the YOLOv8 Web UI
Introducing the new YOLOv8 Web UI - image labeling, training, and inference in a single GUI.
2 months ago
The Evolution of StyleGAN: Introduction
This article reviews the development of the influential StyleGAN model throughout its development history.
2 months ago
Data2Vec: Self-supervised general framework for vision, speech, and text
In this tutorial, we understand Data2Vec model from Meta AI and show how to train your own model with a ready-to-use codebase on the Gradient Notebook.
2 months ago
Ensembling Neural Network Models With Tensorflow
Boosting the performance and generalization of models by ensembling multiple neural network models.
3 months ago
An Overview of Epistemic Uncertainty in Deep Learning
In this article, we explored a broad overview of epistemic uncertainty in deep learning classifiers, and develop intuition about how an ensemble of models can be used to detect its presence for a particular image instance.
4 months ago
