Here are
124 public repositories
matching this topic...
LibRec: A Leading Java Library for Recommender Systems, see
-
Updated
Sep 17, 2021
-
Java
A fast, memory efficient hash map for C++
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
Library for faster pinned CPU <-> GPU transfer in Pytorch
-
Updated
Feb 21, 2020
-
Python
Library for specialized dense and sparse matrix operations, and deep learning primitives.
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
-
Updated
Apr 22, 2022
-
Python
⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex
-
Updated
Feb 7, 2022
-
Julia
Sparse and structured neural attention mechanisms
-
Updated
Aug 31, 2020
-
Python
Forensics tool for NTFS (parser, mft, bitlocker, deleted files)
Attention-guided CNN for image denoising(Neural Networks,2020)
-
Updated
Jul 4, 2021
-
Python
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
-
Updated
Mar 2, 2022
-
Julia
P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
-
Updated
Nov 15, 2021
-
HTML
FFM (Field-Awared Factorization Machine) on Spark
-
Updated
Jul 30, 2018
-
Scala
C++ implementation of sparse matrix using CRS (Compressed Row Storage) format
A sparse octree data structure.
-
Updated
Feb 26, 2022
-
TypeScript
sparse matrix pre-processing library
General, high performance algebraic multigrid solver
Make available to Julia the sparse functionality in MKL
-
Updated
Oct 22, 2020
-
Julia
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
-
Updated
Mar 25, 2022
-
Python
Next generation library for iterative sparse solvers for ROCm platform
A sparse KLU solver for PyTorch.
-
Updated
Jan 10, 2022
-
Python
An open source machine learning library for performing regression tasks using RVM technique.
Fortran interfaces for ROCm libraries
-
Updated
Apr 23, 2022
-
Fortran
A Julia package for n-dimensional sparse tensors.
-
Updated
Dec 6, 2021
-
Julia
Sparse learning in TensorFlow using data acquired from Spark.
-
Updated
Apr 22, 2019
-
Python
codes for TNNLS paper "Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration"
-
Updated
Mar 10, 2020
-
MATLAB
bare bone Hierarchial Temporal Memory
-
Updated
Jan 31, 2019
-
Python
Improve this page
Add a description, image, and links to the
sparse
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
sparse
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.
Consolidating multiple issues here: