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my-churn-prediction

Simple Churn Prediction examples using different Python frameworks including Tensorflow, Skflow, Scikit-learn and PySpark

my-receipts

my personal receipts collected all over the world

my-tensorflow-tutorials

This repo contains all of my TensorFlow tutorials

myalphagozeroonconnect4

My Simple Implementation of AlphaGo Zero on Connect4

mysmalldeepnets

This repository contains codes for a small deep learning techniques such as Restricted Boltzmann Machines, Autoencoder, Denoising Autoencoder, Feed Forward Neural Networks, Convolutional Neural Network, and many others.

n2nmn

Code release for Hu et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering. in ICCV, 2017

naacl18-multitask_argument_mining

Code for the paper "Multi-Task Learning for Argumentation Mining in Low-Resource Settings"

naacl2018-before-name-calling-habernal-et-al

Code and data for NAACL 2018 article "Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation" by Habernal et al.

nab

The Numenta Anomaly Benchmark

nadaraya-watson-regression-metric

naive-text-summarizer

A naive text summarizer written from scratch using text rank algorithm

nalu

Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al

nam

Non-Adversarial Unsupervised Domain Mapping

namas

Neural Attention Model for Abstractive Summarization

name_entity_recognition

Name Entity Recognition with DNN

named-entity-recognition_deeplearning-keras

complete Jupyter notebook for implementation of state-of-the-art Named Entity Recognition with bidirectional LSTMs and ELMo

napkinxc

Extremely simple and fast extreme multi-class and multi-label classifiers.

narrativeqa

narre

This is our implementation of NARRE

nasbot

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

nasnet-keras

Keras implementation of NASNet-A

nasnet-tensorflow

A nasnet in tensorflow

nasnet.pytorch

[WIP] Implementation of Learning Transferable Architectures for Scalable Image Recognition in Pytorch

nats

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

natural-adversary

Generating Natural Adversarial Examples, ICLR 2018

natural-language-preprocessings

Some recipes of natural language pre-processing

natural-language-processing

Natural Language based SalesPerson Bot for Mobile Systems.Performed Named Entity Recognition on input sentences, Relationship Extraction using Machine Learning on obtained named entities and used Natural Language Generation (template / discourse structure based) to generate responses for the user queries. The System built was reactive (answer the queries raised by customer)

natural-language-processing-1

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

natural-language-processing-2

:speech_balloon: NLP Course Projects: Spell Correction, POS Tagging, PCFG, and Sentiment Analysis

natural-language-processing-3

Resources for "Natural Language Processing" Coursera course.