Deep neural networks topic
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
holicity
HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures
densemapnet
Keras code of my ICRA 2018 paper "Fast Disparity Estimation using Dense Networks"
virtual_drawing_board
Virtual whiteboard with hand pose estimation
Character-level-cnn-pytorch
Character-level CNN for text classification
Character-level-cnn-tensorflow
Character-level CNN for text classification
Deeplab-pytorch
Deeplab for semantic segmentation tasks
Hierarchical-attention-networks-pytorch
Hierarchical Attention Networks for document classification
QuickDraw
Implementation of Quickdraw - an online game developed by Google
SSD-pytorch
SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
dnn.cool
A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.