Sparse Open Source Projects

Productive, portable, and performant GPU programming in Python.

100+ Chinese Word Vectors 上百种预训练中文词向量

Real-time Geospatial and Geofencing

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

Machine Learning and Computer Vision Engineer - Technical Interview Questions

An industrial deep learning framework for high-dimension sparse data

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Faster user-land reimplementations for several common builtin native JavaScript functions.

OpenVDB - Sparse volume data structure and tools

LibRec: A Leading Java Library for Recommender Systems, see

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Collection of popular and reproducible image denoising works.

Spatial Sparse Convolution Library

Hash function quality and speed tests

Submanifold sparse convolutional networks

The Universal Storage Engine

A collection of high-impact and state-of-the-art SR methods

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

C++ associative containers

Scalar: A set of tools and extensions for Git to allow very large monorepos to run on Git without a virtualization layer

[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal

A fast, memory efficient hash map for C++

PySpark + Scikit-learn = Sparkit-learn

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

这是一本关于SLAM的书稿，希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到200页左右，书稿每章对应的代码也会被整理出来。

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

中国科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)

(Deprecated) Scikit-learn integration package for Apache Spark

Efficient GPU kernels for block-sparse matrix multiplication and convolution

HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) brought to you by Axiom

list of efficient attention modules

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.

SPLADE: sparse neural search (SIGIR21, SIGIR22)

한국어 자연어처리를 위한 파이썬 라이브러리입니다. 단어 추출/ 토크나이저 / 품사판별/ 전처리의 기능을 제공합니다.

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

List of software packages for multi-omics analysis

Convert sparse Android data image to filesystem ext4 image

An extended `cp`

Approximate Nearest Neighbor Search for Sparse Data in Python!

C++ library for solving large sparse linear systems with algebraic multigrid method

Parallel solvers for sparse linear systems featuring multigrid methods.

Tool to convert Android sparse images to raw images

Keras-based implementation of Relational Graph Convolutional Networks

Open source code for the paper of Neural Sparse Voxel Fields.

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

CPU Sparse Voxel Octree Implementation

Code for Kaggle Data Science Competitions

ECCV2020 - Official code repository for the paper : STAR - A Sparse Trained Articulated Human Body Regressor

Sparse volume compute and rendering on NVIDIA GPUs

Machine Learning Problem Bible | Problem Set Here >>

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

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

Sparse multi-dimensional arrays for the PyData ecosystem

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

Machine learning crate for Rust

awesome image and video denoising, state of the art networks