https://github.com/libxsmm/libxsmm
Library for specialized dense and sparse matrix operations, and deep learning primitives.
tmu
Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.
genieclust
Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R
https://github.com/flatironinstitute/sparse_dot
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
slcm
Perform a Bayesian estimation of the exploratory Sparse Latent Class Model for Binary Data described by Chen, Y., Culpepper, S. A., and Liang, F. (2020) <https://doi.org/10.1007/s11336-019-09693-2>
https://github.com/berenslab/sbnn
A sparse bottleneck neural network to predict electrophysiological properties of neurons from their gene expression.
candidatevectorsearch
Searching for peptide candidates using sparse matrix + matrix/vector multiplication.
sparsematrixcolorings.jl
Coloring algorithms for sparse Jacobian and Hessian matrices
graphcompression
A new set of lossy and lossless graph compression techniques for external memory representation.