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neat-vision

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

nec

Implementation of Neural Episodic Control in Tensorflow

nemesyst

Experimental, general purpose, framework for the practical application of deep learning, utilising MongoDb, TensorFlow, Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs)

ner-at-first-sight

This repository contains the data used for the paper "Entity Recognition at First Sight: Improving NER with Eye Movement Information" by Nora Hollenstein & Ce Zhang (accepted at NAACL 2019)

ner-bert

BERT-NER (nert-bert) with google bert https://github.com/google-research.

ner-crf

CRF to detect named entities (primarily names of people)

ner-pytorch

LSTM+CRF NER

ner_elmo

NER with Deep contextualized word representations (Elmo)

nested-lstm

Keras implementation of Nested LSTMs

nestedtabs

Nested Tabs Demonstration

net-ipfs-engine

IPFS implementation in .Net

net-trim-v1

Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee

net2net.torch

Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.

netdissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

netgan

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

netrex

Neural network recommendation models in PyTorch

netron

Viewer for neural network models

nets

Welcome to the Academy of Arts

network-design

Repository for the implementation of a solution to the Network Design Problem for a modified Two Echelon Vehicle Routing Problem

network-intrusion-detection

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

networkneuralnetwork

networkx-supply-chain-simulation

Generate Supply Chain Network with NetworkX package and simulate by using SimPy

neulns

Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learning.

neural-architecture-search

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

neural-assembly-compiler

A neural assembly compiler for pyTorch based on adaptive-neural-compilation

neural-attentive-item-similarity-model

TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018

neural-chatbot

A Neural Network based Chatbot

neural-collage

Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration

neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

neural-decision-forests

An implementation of the Deep Neural Decision Forests in PyTorch