sparse
There are 189 repositories under sparse topic.
guoguibing/librec
LibRec: A Leading Java Library for Recommender Systems, see
greg7mdp/sparsepp
A fast, memory efficient hash map for C++
tensor-compiler/taco
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
rusty1s/pytorch_sparse
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
libxsmm/libxsmm
Library for specialized dense and sparse matrix operations, and deep learning primitives.
Santosh-Gupta/SpeedTorch
Library for faster pinned CPU <-> GPU transfer in Pytorch
naver/splade
SPLADE: sparse neural search (SIGIR21, SIGIR22)
rapidsai/raft
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.
thewhiteninja/ntfstool
Forensics tool for NTFS (parser, mft, bitlocker, deleted files)
megvii-research/Sparsebit
A model compression and acceleration toolbox based on pytorch.
lmxyy/sige
[NeurIPS 2022] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
JuliaDiff/FiniteDiff.jl
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
vene/sparse-structured-attention
Sparse and structured neural attention mechanisms
open2c/cooler
A cool place to store your Hi-C
marakeby/pnet_prostate_paper
P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
willow-ahrens/Finch.jl
Sparse tensors in Julia and more! Datastructure-driven array programing language.
uwsampl/SparseTIR
SparseTIR: Sparse Tensor Compiler for Deep Learning
python-graphblas/python-graphblas
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
vanruesc/sparse-octree
A sparse octree data structure.
rapidsai/cuvs
cuVS - a library for vector search and clustering on the GPU
hellloxiaotian/ADNet
Attention-guided CNN for image denoising(Neural Networks,2020)
cair/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.
uestla/Sparse-Matrix
C++ implementation of sparse matrix using CRS (Compressed Row Storage) format
microsoft/rag-experiment-accelerator
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.
VinceShieh/spark-ffm
FFM (Field-Awared Factorization Machine) on Spark
Quantco/tabmat
Efficient matrix representations for working with tabular data
JuliaSparse/Pardiso.jl
Calling the PARDISO library from Julia
IntelLabs/SpMP
sparse matrix pre-processing library
flatironinstitute/sparse_dot
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
ROCm/rocALUTION
Next generation library for iterative sparse solvers for ROCm platform
ROCm/hipfort
Fortran interfaces for ROCm libraries
flaport/torch_sparse_solve
A sparse KLU solver for PyTorch.
raptor-library/raptor
General, high performance algebraic multigrid solver
gagolews/genieclust
Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R
JuliaSparse/MKLSparse.jl
Make available to Julia the sparse functionality in MKL
v-iashin/SparseSync
Source code for "Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors." (Spotlight at the BMVC 2022)