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nb_conda_kernels

Package for managing conda environment-based kernels inside of Jupyter

nbrun

Runs Jupyter notebooks in parallel to verify that they are not raising any exceptions

ncov2019

query stats of infected coronavirus cases

nd4j

Fast, Scientific and Numerical Computing for the JVM (NDArrays)

nearpy

Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.

neji

Flexible, easy and powerfull framework for faster biomedical concept recognition.

nero

Name Entity Recognition Optimizer

network_analysis_r_examples

R scripts from USC COMM 645 2012

networkit

NetworKit is a growing open-source toolkit for large-scale network analysis.

neuralnetworks

java deep neural networks with gpu acceleration

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neurohack-2016-starterkit

neurohack starter kit

neurohack-2016-winners

Winners of neuroscience hackathon

neurohack-base-image

neuroner

named entity recognizer for neuronal cells, based on UIMA Ruta rules

nifi

Mirror of Apache NiFi

nlp---aspect-based-sentiment-analysis-of-customer-reviews-using-hybrid-pattern-matching

Customer reviews on e-commerce websites play a vital role in driving the customer purchasing behavior. Walmart currently follows an overall five-star rating system and it is not reflective of the actual sentiments expressed by the buyers and the verbal descriptive reviews do not distinctively enlighten prospective customers about the specific aspects in products or services. It is essential for Walmart to mine user reviews to extract sentiments by different aspects specific to every product (like quality, durability, warranty service, pricing, reliability etc.) and service (like shipping, packaging, return/ replacement policies etc.). This process can help draw specific insights about the product and service which will help both Walmart and potential customers to take more informed decisions.

nlp-demo-2017

Semantic natural language understanding at scale using Spark, machine-learned annotators and deep-learned ontologies

nlp-graph-notebooks

IPython companion notebooks for blog posts about Natural Language Processing on lyonwj.com

nlp-rnns-representations-post

A blog post using word embeddings and RNNs to explain representations.

nlp_course

YSDA course in Natural Language Processing

nlptools

A toolkit that wraps various natural language processing implementations behind a common interface.

nlpweb

A demonstration of various NLP tools.

nltk-examples

Worked examples from the NLTK Book

nngraph

Graph Computation for nn

nnlsv

Paper by @colah and @mnielsen on visualizing the behaviour of large numbers of neural nets

node-language-detect

NodeJS language detection library using n-gram

notebook-of-things-i-do-not-know-about

Notebook relating to Machine Learning/Data Science and potentially various other topics.

notebooks

Some sample IPython notebooks for scikit-learn

notebooks-1

Directory of Jupyter notebooks exploring various topics