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usrnet

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

utensor

AI inference library based on mbed and TensorFlow

v002-camera-live

Live Syphon Camera

v2v-style-transfer

Video-to-video style transfer using convolutional neural networks

vae-gan-tensorflow

the tensorflow code of "autoencoding beyond pixels using a learned similarity metric"

vae-gmvae

This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures

vae-lagging-encoder

PyTorch implementation of Lagging Inference Networks and Posterior Collapse in Variational Autoencoders

vae-torch

Implementation of Variational Auto-Encoder in Torch7

vae_householder_flow

Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)

vae_tutorial

Caffe code to accompany my Tutorial on Variational Autoencoders

vae_vampprior

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

vaeblog

vaes

Variational Autoencoders & Normalizing Flows Project

valan

value-iteration-networks-pytorch

PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)

vanillacnn

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l

var-attn

variational-autoencoders

Variational Autoencoders

variational-depth-from-focus

Implementation of "Variational Depth from Focus Reconstruction" [Moeller 2014]

variational-dropout-sparsifies-dnn

Implementation of Sparse Variational Dropout, Under review by ICML 2017

variational-recurrent-autoencoder-tensorflow

A tensorflow implementation of "Generating Sentences from a Continuous Space"

variational-text-tensorflow

TensorFlow implementation of Neural Variational Inference for Text Processing

variationalrecurrentneuralnetwork

Pytorch implementation of the Variational Recurrent Neural Network (VRNN).

vasnet

PyTorch implementation of the ACCV 2018-AIU2018 paper Video Summarization with Attention

vctree-visual-question-answering

Code for the Visual Question Answering (VQA) part of CVPR 2019 oral paper: "Learning to Compose Dynamic Tree Structures for Visual Contexts"

vdeep_dcgan

vdetlib

Video detection library

vdpwi-nn-torch

Very Deep Pairwise Word Interaction Neural Networks

vdvae

Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

vega-lite

A grammar of interactive graphics, built on Vega.