47 skills found · Page 1 of 2
cvondrick / VideoganGenerating Videos with Scene Dynamics. NIPS 2016.
clvrai / SSGAN TensorflowA Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
cvondrick / SoundnetSoundNet: Learning Sound Representations from Unlabeled Video. NIPS 2016
imatge-upc / Detection 2016 NipswsHierarchical Object Detection with Deep Reinforcement Learning
reedscot / Nips2016Learning What and Where to Draw
kentsommer / Pytorch Value Iteration NetworksPytorch implementation of Value Iteration Networks (NIPS 2016 best paper)
leeesangwon / PyTorch Image RetrievalA PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).
tolga-b / DebiasweRemove problematic gender bias from word embeddings.
hindupuravinash / Nips2016A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
black0017 / 3D GAN PytorchResponsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling.pdf
xcyan / Nips16 PTNTorch Implementation of NIPS'16 paper: Perspective Transformer Nets
philipperemy / Tensorflow Phased LstmPhased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
princeton-vl / Relative DepthCode for the NIPS 2016 paper
yjn870 / REDNet PytorchPyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)
rofuyu / Exp Trmf Nips16Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.
limaosen0 / Variational Graph Auto EncodersThis is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
YisenWang / LightRNN NIPS2016 Tensorflow CodeThe tensorflow implementation of NIPS2016 paper "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks" (https://arxiv.org/abs/1610.09893)
dfan / Single Image Surface Normal EstimationPyTorch implementation of the hourglass architecture proposed in "Single-Image Depth Perception in the Wild" by Chen, et al. in NIPS 2016. Adapted for surface normal estimation instead of relative depth estimation.
jnhwkim / Nips Mrn VqaMultimodal Residual Learning for Visual QA (NIPS 2016)
ananyahjha93 / Disentangling Factors Of Variation Using Adversarial TrainingThis repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversarial training (https://arxiv.org/abs/1611.03383), which was accepted at NIPS 2016.
