GraphGallery: a library for graph neural networks on PyTorch and TensorFlow

2 March 2021

GraphGallery: a library for graph neural networks on PyTorch and TensorFlow

GraphGallery is a library for training and testing graph neural networks. GraphGallery implements adversarial attacks on graph neural networks. The library is compatible with PyTorch, TensorFlow 2.x, Pytorch Geometric (PyG),…

FaceX-Zoo: PyTorch library for face recognition in images

29 January 2021

FaceX-Zoo: PyTorch library for face recognition in images

FaceX-Zoo is an open-source library on PyTorch for recognizing faces in images. The library provides a module for training models with different configurations of error functionality and basic architecture. In…

Depth Estimation Using Encoder-Decoder Networks and Self-Supervised Learning

25 June 2018
depth estimation using neural networks

Depth Estimation Using Encoder-Decoder Networks and Self-Supervised Learning

Modern autonomous mobile robots (including self-driving cars) require a strong understanding of their environment in order to operate safely and effectively. Comprehensive and accurate models of the surrounding environment are…

“Seeing Beyond Walls” — Human Pose Estimation Under Occlusions

21 June 2018
Human Pose Estimation Under Occlusions

“Seeing Beyond Walls” — Human Pose Estimation Under Occlusions

Being able to see beyond walls has been considered superhuman power, seen in many sci-fi movies in the past. In 2011, researchers the Massachusetts Institute of Technology announced that they…

Image Inpainting for Irregular Holes Using Partial Convolutions

8 May 2018
Image Inpainting for Irregular Holes Using Partial Convolutions

Image Inpainting for Irregular Holes Using Partial Convolutions

Deep learning is growing very fast and it is one of the fast-growing areas of artificial intelligence. It has been used in many fields extensively including real-time object detection, image…