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Performant alternatives to Matrix package in R that requires minimal effort by end users to install

Background I'm going to be releasing a package for R that does calculations involving extremely large sparse matrices (1,000,000 x 1,000,000 is the minimum for what we consider useful). For this ...
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10 views

Any library recommendations for a Python recommender framework with multi-class input, incl. array input?

(crosspost from https://softwarerecs.stackexchange.com/questions/62491/python-recommender-framework-with-array-input, this meta post seems to justify doing this. I really really need answers to this, ...
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0answers
160 views

alternatives to pyspark to query a csv file locally (no distributed computation needed)

I am reading a csv file with pyspark to extract some information from it. I am running pyspark locally and I do not need distributed computation. On the contrary I need some plotting library such as ...
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2answers
1k views

Benchmarks based on neural networks libraries to compare the performance between different GPUs

I am looking for benchmarks based on neural networks libraries (Theano/TensorFlow/Torch/Caffe/…) to compare the performance between different GPUs. I am aware of: https://github.com/jcjohnson/cnn-...
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2answers
22k views

Multivariate linear regression in Python

I'm looking for a Python package that implements multivariate linear regression. (Terminological note: multivariate regression deals with the case where there are more than one dependent variables ...
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4answers
12k views

Python library for segmented regression (a.k.a. piecewise regression)

I am looking for a Python library that can perform segmented regression (a.k.a. piecewise regression). Example:
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156 views

“Recursive ConvNets for Dummies” Library

I've look at the questions on here regarding the different python libraries around for deep learning and neural nets. They include: Keras Caffe Lasagne PyLearn2 Deepy Theano Torch My understanding ...
61
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8answers
73k views

Open source Anomaly Detection in Python

Problem Background: I am working on a project that involves log files similar to those found in the IT monitoring space (to my best understanding of IT space). These log files are time-series data, ...
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1answer
424 views

Theano in deep learning research

How widely is Theano used in deep learning research? Is Theano a good start to learn the implementation of machine learning algorithms? Will learning the implementation of something like a feed ...
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2answers
450 views

Geospatial Social Network Analysis Visualization

I have a data set that keeps track of who referred someone to a program, and includes the geo coordinates of both parties for each record. What will be the best way to visualize this kind of data set?...
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38 views

General programs/libraries for studying user search behavior?

Are there any general open-source programs or libraries (e.g., a Python library) for analyzing user search behavior? By "search behavior", I mean a user's interaction with a search engine, such as ...
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1answer
1k views

K-Means clustering for mixed numeric and categorical data implementation in C#

I am a research scholar in data mining. I'm interested in C# implementation of K-Means clustering algorithm for mixed numeric and categorical data.