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neural-art-mini

Lightweight version of mxnet neural art implementation

neural-style

Torch implementation of neural style algorithm

neural-summary-tensorflow

In progress

neural-symbolic-machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

neural_artistic_style

Neural Artistic Style in Python

neuroner

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

nli

Enhanced LTSM for natural language inference

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-sentiment

Various NLP methods (in python) to perform sentiment analysis

nlquery

Natural Language Engine on WikiData

nltk-trainer

Train NLTK objects with zero code

nn4nlp2017-code

Code Samples from Neural Networks for NLP

nnforge

Convolutional and fully-connected neural networks C++ library. It features CPU and GPU (CUDA) backends

node-readability

Server side readability with node.js

node2vec

nrlpapers

Must-read papers on network representation learning (NRL)/network embedding (NE)

nspm

🤖 Neural SPARQL Machines translate natural language into SPARQL queries.

ogd

FTRL proximal algorithm according to McMahan et al. 2013

ollie

Ollie is a open information extractor that uses bootstrapped dependency paths.

openie-standalone

openne

An Open-Source Package for Network Embedding (NE)

opennmt-tf

Open Source Neural Machine Translation in TensorFlow

openrefine

OpenRefine is a free, open source power tool for working with messy data and improving it

opponent

Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"

p3c

Alibaba Java Coding Guidelines pmd implements and IDE plugin

paircnn-ranking

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

papers-we-love

Papers from the computer science community to read and discuss.

parallelismbook

A book about parallel computing & code optimization

parameter_server

A distributed machine learning framework.

passage

A little library for text analysis with RNNs.