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.
zi2zi
Learning Chinese Character style with conditional GAN
PyTorch-Multi-Style-Transfer
Neural Style and MSG-Net
serving
A flexible, high-performance serving system for machine learning models
tiramisu
A polyhedral compiler for expressing fast and portable data parallel algorithms
pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
starnet
StarNet
Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
detext
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
dm-haiku
JAX-based neural network library
LiDAR-MOS
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)