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vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

vae-anomaly-detector

Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.

vae-for-anomaly-detection

MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow

vae_cf

Variational autoencoders for collaborative filtering

validate-prediction-algos

Validate Prediction Algorithms for Solar Flares Occurrence

validate-prediction-algos-modular

Validate Prediction Algorithms for Solar Flares Occurrence with Modular Code

validate-prediction-algos-paper

Validate Prediction Algorithms for Solar Flares Occurrence with respresentative sample

validate_rfm_rfmtc_cdnow

Validation of the training and testing processes of the RFM and RFMTC models using R language and the CDNOW transactional data set..

validatingmodelsinr

Slides and code for "Validating Models in R" Strata 2016 RDay http://conferences.oreilly.com/strata/hadoop-big-data-ca/public/schedule/detail/48053

value-based-reinforcement-learning

Introduction to advances of value-based reinforcement learning

vancouver_housing

Data collection, EDA, and prediction of Vancouver housing prices

vandata

Data Science with City of Vancouver Data

vanilla-rtb

Real Time Bidding (RTB) - Demand Side Platform framework

vantgrd-py

Vantgrd for Python: simple implementation of widely used Machine Learning algorithms

variable-importance-shuffling

Companion code for walkthrough: http://amunategui.github.io/variable-importance-shuffler/

variable-selection-using-python

variant-ranking

Variant ranking, using Hadoop/Spark

variational-change-detection

variational-dropout-sparsifies-dnn

Sparse Variational Dropout, ICML 2017

variety

A schema analyzer for MongoDB

vasishthlab

Psycholinguistic Data and Example Analyses from Vasishth Lab (Potsdam)

vasishthnicenboimpart1

This repository contains the code and data that accompany the paper: Statistical methods for linguistic research: Foundational Ideas - Part I, by Shravan Vasishth and Bruno Nicenboim. Language and Linguistics Compass 10/8 (2016): 349–369, doi: 10.1111/lnc3.12201.

vbs-obfuscator-in-python

VBScript obfuscation to allow PenTesters bypass countermeasures.

vechgrad

vectorflow

vega-datasets

Common repository for example datasets used by Vega-related projects

vega_datasets

A Python package for offline access to vega datasets

vem-2017

(Best Paper Award) Who Drive Company-Owned OSS Projects: Employees or Volunteers?

verifiability-ijcnlp-2017

Public repo for attribution verifiability paper published in IJCNLP 2017

vex-mmm

Open source marketing mix modeling code for vexpower.com