LLM training in simple, raw C/CUDA

Instant neural graphics primitives: lightning fast NeRF and more

📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉

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

This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, s…

Fuse multiple depth frames into a TSDF voxel volume.

Implementation of the KinectFusion approach in modern C++14 and CUDA

MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

Official implementation of "Decentralization and Acceleration Enables Large-Scale Bundle Adjustment"

[SIGGRAPH 2021] ROSEFusion is proposed to tackle the difficulties in fast-motion camera tracking using random optimization with depth information only.

Differentiable Iso-Surface Extraction Package (DISO)

ICRA2025: OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding

Code for "Representing Volumetric Videos as Dynamic MLP Maps" CVPR 2023

[ECCV'24] On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy

A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search. Run on Jetson Orin NX 8GB.

高性能编程 笔记

kmeans clustering with multi-GPU capabilities

DISTWAR-enabled rasterization engine for the paper "3D Gaussian Splatting for Real-Time Rendering of Radiance Fields"

Visual odometry (based on image intensity) implementation on CUDA

persistent kernel sample implementation of iterative stencil solver and conjugate gradient solver