Introduction to Graph Machine Learning

In this blog post, we cover the basics of graph machine learning. We first study what graphs are, why they are used, and how best to represent them. We then cover briefly how people learn on graphs, from pre-neural methods (exploring graph features at the same time) to what are commonly called Graph Neural Networks. Lastly, we peek into the world of    

Read more

Welcome PaddlePaddle to the Hugging Face Hub

We are happy to share an open source collaboration between Hugging Face and PaddlePaddle on a shared mission to advance and democratize AI through open source! First open sourced by Baidu in 2016, PaddlePaddle enables developers of all skill levels to adopt and implement Deep Learning at scale. As of Q4 2022, PaddlePaddle is being used by more than 5.35 million developers    

Read more

Universal Image Segmentation with Mask2Former and OneFormer

This guide introduces Mask2Former and OneFormer, 2 state-of-the-art neural networks for image segmentation. The models are now available in 🤗 transformers, an open-source library that offers easy-to-use implementations of state-of-the-art models. Along the way, you’ll learn about the difference between the various forms of image segmentation. Image segmentation Image segmentation is the task of identifying different “segments” in an image, like people or cars. More technically, image segmentation is the task of grouping pixels with different semantics.    

Read more
1 15 16 17 18 19 70