Library for faster pinned CPU <-> GPU transfer in Pytorch
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Updated
Feb 21, 2020 - Python
Library for faster pinned CPU <-> GPU transfer in Pytorch
Sparse modeling and Compressive sensing in Python
Code for the paper "Learning sparse transformations through backpropagation"
Python implementation of the sparse clustering methods
Python implementation of "Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion [Manabe+. 2018]"
Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.
STELA algorithm for sparsity regularized linear regression (LASSO)
Python 3 environment for benchmarking PRIISM
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