Code for NIPS 2017 learning to run challenge

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

Reproduction code for WGAN-LP

Z-Forcing: Training Stochastic Recurrent Networks for Speech Modelling

Dilated Recurrent Neural Networks

Tensorflow Implementation of adversarial learning based adversarial example generator

Fast-Slow Recurrent Neural Networks

Implementation of the paper : "Toward Multimodal Image-to-Image Translation"

text convolution-deconvolution auto-encoder model in PyTorch

PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)

Implementation for <Deep Hyperspherical Learning> in NIPS'17.

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

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)

Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Simple & Effective Dimensionality Reduction for Word Embeddings. Presented at NIPS 2017 LLLD & RepL4NLP 2019 Workshop.

A state-of-the-art semi-supervised method for image recognition

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Code for "Effective Dimensionality Reduction for Word Embeddings".