Code for NIPS 2017 learning to run challenge
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Updated
Nov 15, 2017 - Python
Code for NIPS 2017 learning to run challenge
An implementation of the "A simple neural network module for relational reasoning" paper in NIPS 2017
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
Reproduction code for WGAN-LP
NIPS 2017 Paper implementation challenge Learning Linear Dynamic Systems via Spectral Filtering
Selective Classification For Deep Neural Networks.
Z-Forcing: Training Stochastic Recurrent Networks for Speech Modelling
Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"
Tensorflow Implementation of adversarial learning based adversarial example generator
Fast-Slow Recurrent Neural Networks
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Decathlon Multiple Visual Domains with Residual Adapters in Keras
Implementation of the paper : "Toward Multimodal Image-to-Image Translation"
text convolution-deconvolution auto-encoder model in PyTorch
Hiding Images within other images using Deep Learning
PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)
Implementation for <Deep Hyperspherical Learning> in NIPS'17.
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