Updated 6 months ago

tmu • Rank 13.3 • Science 49%

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.

Updated 5 months ago

https://github.com/flatironinstitute/sparse_dot • Rank 14.2 • Science 26%

Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication

Updated 6 months ago

slcm • Rank 5.8 • Science 26%

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>

Updated 5 months ago

https://github.com/berenslab/sbnn • Science 36%

A sparse bottleneck neural network to predict electrophysiological properties of neurons from their gene expression.

Updated 6 months ago

candidatevectorsearch • Science 39%

Searching for peptide candidates using sparse matrix + matrix/vector multiplication.

Updated 6 months ago

sparsematrixcolorings.jl • Science 67%

Coloring algorithms for sparse Jacobian and Hessian matrices

Updated 6 months ago

graphcompression • Science 57%

A new set of lossy and lossless graph compression techniques for external memory representation.

Updated 4 months ago

https://github.com/demoriarty/doksparse • Science 13%

sparse DOK tensors on GPU, pytorch