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What are some useful but less known libraries when working with machine learning? [closed]

What are some useful but less-known python libraries when working with machine learning? For example, I saw these two libraries to help plot the ML plots. Yellowbrick: Machine Learning Visualization ...
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0answers
24 views

Is tensorflow provide object tracking api with detection?

I am using the TensorFlow object detection API to detect the person. I have one more use case to track a person. Is there any possibility to achieve this using TensorFlow object detection API or they ...
1
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0answers
171 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 ...
1
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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
28k 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
18k 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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0answers
157 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 ...
66
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7answers
78k 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, ...
8
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1answer
436 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 ...
2
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2answers
463 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?...
2
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1answer
45 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 ...
1
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1answer
2k 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.