Showing 21-40 of 42 projects
A fast and tightly-coupled LiDAR-Inertial-Visual Odometry (LIVO) system for 3D reconstruction and sensor fusion.
Lightweight, tightly coupled lidar-inertial odometry using parallel sparse incremental voxels.
A powerful suite of sparse matrix algorithms and libraries for scientific and numerical computing.
Efficient training and inference framework for sparse convolution on GPUs, useful for AI and ML developers.
A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.
An efficient one-step diffusion framework for streaming video super-resolution with AI-powered tools.
Tensor Algebra Compiler (taco) is a C++ library for computing sparse tensor expressions on CPUs and GPUs.
A GitHub repository for Owl, a OCaml Scientific Computing framework
This is a library for sparse representation and high-resolution 3D shape modeling, useful for computer graphics and vision tasks.
A fast, memory-efficient hash map library for C++ developers.
A Rust data structure for efficiently storing and accessing data in a sparse set.
A library for training sparse autoencoders on language models, potentially useful for vibe coders.
PyTorch implementation of the Sparsely-Gated Mixture-of-Experts layer, a powerful AI model architecture.
An efficient 3D Gaussian splatting method for novel view synthesis from sparse multi-view images.
An open-source 3D generation model that uses Spatial Sparse Attention for efficient and scalable 3D creation.
A Python library that speeds up inference for large language models by up to 10x with dynamic sparse attention
Apache Accumulo is a scalable and robust key-value store that provides a sparse, sorted, distributed, and persistent multi-dimensional table.
An optimized PyTorch extension for efficient sparse matrix operations with autograd support.
Programmable CUDA/C++ GPU Graph Analytics library for high-performance parallel graph processing.
Efficient GPU kernels for block-sparse matrix multiplication and convolution, useful for AI/ML developers.
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