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twitter/AnomalyDetection: Anomaly Detection with R
[47 commits @ 17 months - 9 months ago]
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mages/googleVis: Interface between R and the Google Chart Tools https://github.com/mages/googleVis#googlevis
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ujjwalkarn/xda: R package for exploratory data analysis http://ujjwalkarn.github.io/xda/
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R Client for the Microsoft Cognitive Services Web Language Model REST API (Web-scale Language Models, Next Word Prediction, Break Into Words)
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R Client for the Microsoft Cognitive Services Text Analytics REST API (Sentiment Analysis, Topic Detection, Language Detection, Key Talking Points Extraction)
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johnmyleswhite/ML_for_Hackers: Code accompanying the book "Machine Learning for Hackers" http://shop.oreilly.com/product/0636920018483.do
[72 commits @ 53 months - 30 months ago]
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promodel/iSAX: Several versions of the code for Symbolic Aggregate approXimation and indexing
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vzhong/icm-relation-extraction: Pre-requisites
[4 commits @ 5 months - 3 months ago]
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stan-dev/stan: Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details. http://mc-stan.org
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elbamos/largeVis: R implementation of LargeVis
[21 commits @ 9 days - 88 hours ago]
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Visualizing Large-scale and High-dimensional Data (LargeVis) - Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei
(arxiv.org)
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LargeVis Implementation in C with Python Wrapper
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amplab-extras/SparkR-pkg: R frontend for Spark http://amplab-extras.github.io/SparkR-pkg
[556 commits @ 32 months - 47 days ago]
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diefimov/west_nile_virus_2015: the 2nd place solution for West Nile Virus Prediction challenge on Kaggle
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ChenglongChen/Kaggle_Acquire_Valued_Shoppers_Challenge: Code for Kaggle's Acquire Valued Shoppers Challenge
[15 commits @ 22 months - 22 months ago]
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ChenglongChen/Kaggle_Higgs_Boson_Machine_Learning_Challenge: R's GBM model for Higgs Boson Machine Learning Challenge
[5 commits @ 22 months - 22 months ago]
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ChenglongChen/Kaggle_Loan_Default_Prediction: R code for Kaggle's Loan Default Prediction - Imperial College London challenge
[5 commits @ 26 months - 26 months ago]
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ChenglongChen/Kaggle_Walmart-Recruiting-Store-Sales-Forecasting: R code for Kaggle's Walmart Recruiting - Store Sales Forecasting
[7 commits @ 24 months - 24 months ago]
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owenzhang/kaggle-avito: Winning solution to the Avito CTR competition
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terrytangyuan/rflow: Pipelined TensorFlow in R (On Hold)
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rstudio/RStartHere: A guide to some of the most useful R Packages that we know about
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Microsoft/RTVS: R Tools for Visual Studio.
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rasmusab/distribution_diagrams: R-script for generating canonical diagrams of distributions to be used to describe Bayesian hierarchical models.
[23 commits @ 42 months - 16 days ago]
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juliasilge/tidytext: Text mining using dplyr, ggplot2, and other tidy tools
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wesm/feather: Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow
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swager/levythin: Levy thinning simulation experiments - Data Augmentation via Lévy Processes
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mikesj-public/dcgan-autoencoder: dcgan-autoencoder
[9 commits @ 6 days - 32 hours ago]
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Enhancing images using Deep Convolutional Generative Adversarial Networks (DCGANs)
(swarbrickjones.wordpress.com)
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dmlc/xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, C++ and more
[1827 commits @ 23 months - 11 hours ago]
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echen/sarah-palin-lda: Topic Modeling the Sarah Palin emails. http://blog.echen.me/2011/06/27/topic-modeling-the-sarah-palin-emails/
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[451 commits @ 52 months - 90 hours ago]
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