Fast Self-Organizing Maps (Kohonen SOM) for sparse, high-dimensional data: online and batch algorithms in C++ with OpenMP, and a Python API (pip install sparse-som).
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Updated
Oct 20, 2026 - C++
Fast Self-Organizing Maps (Kohonen SOM) for sparse, high-dimensional data: online and batch algorithms in C++ with OpenMP, and a Python API (pip install sparse-som).
Very fast loader for libsvm / svmlight sparse data files in Python (Cython): SciPy sparse matrices, gzip and bz2 input, an alternative to sklearn's load_svmlight_file.
Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java
Generalized linear models for regression and classification problems
FEATure HashER
A lightweight and user friendly CUDA-based C++ library for deep and convolutional neural network which allows for the implementation of any computation network and multi-task learning as in the CNTK toolkit
Python script used to transform data to LibSVM format
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