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nmn2

Dynamically predicted neural network structures for multi-domain question answering

nmp_qc

Neural Message Passing for Computer Vision

nmt

TensorFlow Neural Machine Translation Tutorial

nmt-keras

Neural Machine Translation with Keras (Theano/Tensorflow)

nmt-research-reproductions-pytorch

Reproducing neural machine translation research results in PyTorch

nmt-tips

A tutorial about neural machine translation including tips on building practical systems

nmt_gan

generative adversarial nets for neural machine translation

nmtpytorch

Neural Machine Translation Framework in PyTorch

nn

nn-bayesian-optimization

We use a modified neural network instead of Gaussian process for Bayesian optimization.

nn-experiments

My Playground for Deep Learning Experiments and Reading Lists

nn-from-scratch

Implementing a Neural Network from Scratch

nn-iterated-projections

Neural network training using iterated projections.

nn-transfer

Convert trained PyTorch models to Keras, and the other way around

nn4nlp2017-code

Code Samples from Neural Networks for NLP

nn_ner_tensorflow

Implementing , learning and re implementing "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" in Tensorflow

nn_playground

Experimental keras implementation of novel neural network structures

nnclustering

The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)

nndial

NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

nnpulearning

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

nnrec

Neural models for Collaborative Filtering

nntimeseries

noc

Novel Object Captioner - Captioning Images with diverse objects

nochi

Minimalistic AlphaGoZero-like Engine

node-express-realworld-example-app

noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

noisy_labels

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

noisynaturalgradient

Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"

noisynet-a3c

Noisy Networks for Exploration

nomadgram

Instagram Clone with Python + Django + Django Rest Framework + React + Redux