sparse
There are 201 repositories under sparse topic.
guoguibing/librec
LibRec: A Leading Java Library for Recommender Systems, see
tensor-compiler/taco
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
greg7mdp/sparsepp
A fast, memory efficient hash map for C++
rusty1s/pytorch_sparse
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
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.
naver/splade
SPLADE: sparse neural search (SIGIR21, SIGIR22)
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
thewhiteninja/ntfstool
Forensics tool for NTFS (parser, mft, bitlocker, deleted files)
rapidsai/cuvs
cuVS - a library for vector search and clustering on the GPU
megvii-research/Sparsebit
A model compression and acceleration toolbox based on pytorch.
JuliaDiff/FiniteDiff.jl
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
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.
lmxyy/sige
[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
tiktok/sparo
Sparo optimizes performance of Git operations for your large frontend monorepo.
vene/sparse-structured-attention
Sparse and structured neural attention mechanisms
open2c/cooler
A cool place to store your Hi-C
finch-tensor/Finch.jl
Sparse and Structured Tensor Compiler
marakeby/pnet_prostate_paper
P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
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.
python-graphblas/python-graphblas
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
uwsampl/SparseTIR
SparseTIR: Sparse Tensor Compiler for Deep Learning
vanruesc/sparse-octree
A sparse octree data structure.
Quantco/tabmat
Efficient matrix representations for working with tabular data
hellloxiaotian/ADNet
Attention-guided CNN for image denoising(Neural Networks,2020)
uestla/Sparse-Matrix
C++ implementation of sparse matrix using CRS (Compressed Row Storage) format
VinceShieh/spark-ffm
FFM (Field-Awared Factorization Machine) on Spark
JuliaSparse/Pardiso.jl
Calling the PARDISO library from Julia
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
IntelLabs/SpMP
sparse matrix pre-processing library
ROCm/hipfort
Fortran interfaces for ROCm libraries
gagolews/genieclust
Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R
flaport/torch_sparse_solve
A sparse KLU solver for PyTorch.
mfschubert/sparsejac
Efficient forward- and reverse-mode sparse Jacobians using Jax
raptor-library/raptor
General, high performance algebraic multigrid solver