LibRec: A Leading Java Library for Recommender Systems, see

A fast, memory efficient hash map for C++

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.

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

SPLADE: sparse neural search (SIGIR21, SIGIR22)

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.

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

A model compression and acceleration toolbox based on pytorch.

[NeurIPS 2022] 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

A cool place to store your Hi-C

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

SparseTIR: Sparse Tensor Compiler for Deep Learning

A sparse octree data structure.

Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics

Sparse tensors in Julia and more! Datastructure-driven array programing language.

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…