sparse

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.

machine-learning information-retrieval statistics clustering gpu distance linear-algebra cuda primitives sparse nearest-neighbors solvers vector-similarity anns random-sampling vector-search building-blocks llm vector-store neighborhood-methods

UpdatedOct 8, 2025
Cuda

naver /splade

Star919

SPLADE: sparse neural search (SIGIR21, SIGIR22)

nlp information-retrieval sparse bert passage-retrieval splade

UpdatedMay 3, 2024
Python

libxsmm /libxsmm

Star913

Library for specialized dense and sparse matrix operations, and deep learning primitives.

machine-learning fortran vector matrix intel avx sse jit simd matrix-multiplication sparse blas convolution avx2 amx tensor avx512 transpose bfloat16

UpdatedOct 10, 2025
C

Santosh-Gupta /SpeedTorch

Star685

Library for faster pinned CPU <-> GPU transfer in Pytorch

nlp machine-learning natural-language-processing gpu cuda pytorch embeddings sparse data-transfer cupy sparse-modeling cpu-pinned-tensors pytorch-variables gpu-transfer cuda-variables pytorch-tensors cuda-tensors embeddings-trained cpu-gpu-transfer pinned-cpu-tensors

UpdatedFeb 21, 2020
Python

thewhiteninja /ntfstool

Star540

Forensics tool for NTFS (parser, mft, bitlocker, deleted files)

parser logfile disk vss sparse smart ntfs mbr gpt btree compressed efs bitlocker vbr mft undelete usn fve vmk reparse

UpdatedJul 23, 2023
C++

rapidsai /cuvs

Star540

cuVS - a library for vector search and clustering on the GPU

machine-learning information-retrieval statistics clustering gpu distance cuda sparse nearest-neighbors similarity-search vector-similarity anns vector-search llm vector-store neighborhood-methods

UpdatedOct 13, 2025
Cuda

megvii-research /Sparsebit

Star331

A model compression and acceleration toolbox based on pytorch.

deep-learning sparse pruning quantization tensorrt quantization-aware-training post-training-quantization

UpdatedJan 12, 2024
Python

microsoft /rag-experiment-accelerator

Star280

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.

experiment information-retrieval azure evaluation indexing openai sparse vectors chunking acs embedding dense rag llm genai

UpdatedApr 8, 2025
Python

JuliaDiff /FiniteDiff.jl

Star277

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

fast gpu julia sparse derivatives gradients sparse-matrix jacobians coloring hessians banded non-allocating

UpdatedOct 12, 2025
Julia

lmxyy /sige

Star268

[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

acceleration image-editing sparse gans conditional-gan sparse-convolution conditional-gans diffusion-models gaugan ddpm ddim progressive-distillation

UpdatedMar 18, 2024
Python

tiktok /sparo

Star243

Sparo optimizes performance of Git operations for your large frontend monorepo.

git checkout optimization monorepo sparse rush sparse-checkout pnpm monorepos rushstack rushjs

UpdatedMar 19, 2025
TypeScript

open2c /cooler

Star225

A cool place to store your Hi-C

python bioinformatics genomics ngs file-format contact-matrix hdf5 sparse hi-c cooler 3d-genome chromatin

UpdatedOct 6, 2025
Python

vene /sparse-structured-attention

Star224

Sparse and structured neural attention mechanisms

deep-neural-networks sparsity deep-learning sparse segmentation deeplearning attention-mechanism fused-lasso attention-mechanisms

UpdatedAug 31, 2020
Python

finch-tensor /Finch.jl

Star221

Sparse and Structured Tensor Compiler

compiler dsl graphs julia linear-algebra sparse arrays finch tensors looplets

UpdatedOct 4, 2025
Julia

marakeby /pnet_prostate_paper

Star161

P-NET, Biologically informed deep neural network for prostate cancer classification and discovery

cancer sparse explainability

UpdatedNov 15, 2021
HTML

cair /tmu

Star156

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 writ…

gpu incremental cuda regression sparse autoencoder convolution pattern-recognition propositional-logic relational-logic incremental-computation tsetlin-machine multi-output absorbing-states

UpdatedAug 29, 2025
Python

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