Managed Projects

PyMVPA

  Analyzed 3 months ago

Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge ... [More] Regressions, Sparse Multinomial Logistic Regression, GPR. RFE, I-RELIEF), and bindings to external ML libraries (libsvm, shogun, R). While it is not limited to neuroimaging data (e.g. FMRI) it is eminently suited for such datasets. [Less]

113K lines of code

0 current contributors

over 9 years since last commit

8 users on Open Hub

Activity Not Available
5.0
 
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NiBabel

  Analyzed 3 months ago

This package provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, MGH and ECAT as well as PAR/REC. There is some very limited support for DICOM. NiBabel is the successor of PyNIfTI. The various image ... [More] format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. [Less]

40.8K lines of code

23 current contributors

5 months since last commit

6 users on Open Hub

Activity Not Available
0.0
 
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PyNIfTI

  Analyzed 3 months ago

PyNIfTI aims to provide easy access to NIfTI images from within Python. It uses SWIG-generated wrappers for the NIfTI reference library and provides the NiftiImage class for Python-style access to the image data. While PyNIfTI is not yet complete (i.e. doesn't support everything the C library can ... [More] do), it already provides access to the most important features of the NIfTI-1 data format and libniftiio capabilities. [Less]

218K lines of code

0 current contributors

7 months since last commit

2 users on Open Hub

Activity Not Available
5.0
 
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testkraut

  Analyzed 3 months ago

This is a framework for software testing. That being said, testkraut tries to minimize the overlap with the scopes of unit testing, regression testing, and continuous integration testing. Instead, it aims to complement these kinds of testing, and is able to re-use them, or can be integrated with them.

8.77K lines of code

0 current contributors

almost 10 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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