Topic: nips-2017 Goto Github
Some thing interesting about nips-2017
Some thing interesting about nips-2017
nips-2017,Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
User: abdulfatir
nips-2017,Our NIPS 2017: Learning to Run source code
User: adamstelmaszczyk
nips-2017,Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"
User: alexandremuzio
nips-2017,Convolution dictionary learning for time-series
Organization: alphacsc
Home Page: https://alphacsc.github.io/
nips-2017,A state-of-the-art semi-supervised method for image recognition
Organization: curiousai
Home Page: https://arxiv.org/abs/1703.01780
nips-2017,Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
User: dagnyt
nips-2017,NIPS 2017 Paper implementation challenge Learning Linear Dynamic Systems via Spectral Filtering
User: donnut
nips-2017,Hiding Images within other images using Deep Learning
User: harveyslash
nips-2017,A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
User: hindupuravinash
nips-2017,Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
User: jakesnell
nips-2017,Tensorflow Implementation of adversarial learning based adversarial example generator
User: jsikyoon
nips-2017,analysis of configuration files in NIPS 2017 research repositories
User: jzf2101
nips-2017,IPython Notebook showing pytorch implementation of Google DeepMind paper on Relation Network
User: kritiksoman
nips-2017,Implementation of the paper : "Toward Multimodal Image-to-Image Translation"
User: kvmanohar22
nips-2017,Binary Convolution Network for faster real-time processing in ASICs
User: layog
nips-2017,Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
User: mikigom
nips-2017,Reproduction code for WGAN-LP
User: mikigom
nips-2017,近期要读的2017年顶会的几篇行为识别论文
User: milkcat0904
nips-2017,Structured Bayesian Pruning, NIPS 2017
User: necludov
nips-2017,Predict the effect of genetic mutations in cancer tumors and classify them based on text clinical literature.
User: pranshu1921
nips-2017,Selective Classification For Deep Neural Networks.
User: ravi03071991
nips-2017,Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"
User: rohitgirdhar
Home Page: https://rohitgirdhar.github.io/AttentionalPoolingAction/
nips-2017,Reason8.ai PyTorch solution for NIPS RL 2017 challenge
User: scitator
nips-2017,Chainer implementation of the paper "Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results" (https://arxiv.org/abs/1703.01780)
User: shunk031
nips-2017,A collection of some nice papers/research articles.
User: sk-g
nips-2017,Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
User: soskek
nips-2017,End-to-End Differentiable Proving
Organization: uclnlp
nips-2017,Dilated Recurrent Neural Networks
User: ujjax
nips-2017,Fast-Slow Recurrent Neural Networks
User: ujjax
nips-2017,PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
User: ujjax
nips-2017,Z-Forcing: Training Stochastic Recurrent Networks for Speech Modelling
User: ujjax
nips-2017,An implementation of the "A simple neural network module for relational reasoning" paper in NIPS 2017
User: voletiv
nips-2017,Implementation for <Deep Hyperspherical Learning> in NIPS'17.
User: wy1iu
nips-2017,PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)
User: yassersouri
nips-2017,text convolution-deconvolution auto-encoder model in PyTorch
User: ymym3412
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