There are 3 repositories under sparse topic.
LibRec: A Leading Java Library for Recommender Systems, see
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
Library for specialized dense and sparse matrix operations, and deep learning primitives.
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
Library for faster pinned CPU <-> GPU transfer in Pytorch
Forensics tool for NTFS (parser, mft, bitlocker, deleted files)
A model compression and acceleration toolbox based on pytorch.
[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
Sparse and structured neural attention mechanisms
Sparse tensors in Julia and more! Datastructure-driven array programing language.
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
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.
Attention-guided CNN for image denoising(Neural Networks,2020)
C++ implementation of sparse matrix using CRS (Compressed Row Storage) format
FFM (Field-Awared Factorization Machine) on Spark
Calling the PARDISO library from Julia
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
Next generation library for iterative sparse solvers for ROCm platform
A sparse KLU solver for PyTorch.
Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R
General, high performance algebraic multigrid solver
Make available to Julia the sparse functionality in MKL
Source code for "Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors." (Spotlight at the BMVC 2022)