a language for fast, portable data-parallel computation

Puzzles for learning Triton

MLIR For Beginners tutorial

Unofficial implementation of 3D Gaussian Splatting in PyTorch + CUDA with MIT license

😎 A curated list of awesome collision detection libraries and resources

A pure Python quad tree spatial index for GIS or rendering usage

An Evaluation of Modern Spatial Libraries

Genomic interval operations on Pandas DataFrames

Benchmarking programming languages/implementations for common tasks in Bioinformatics

A Toolkit for Programming Parallel Algorithms on Shared-Memory Multicore Machines

Direct voxel grid optimization for fast radiance field reconstruction.

A General NeRF Acceleration Toolbox in PyTorch.

NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).

A PyTorch Library for Accelerating 3D Deep Learning Research

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)

Plenoxels: Radiance Fields without Neural Networks

Sparse and Structured Tensor Compiler

Source code to pbrt, the ray tracer described in the forthcoming 4th edition of the "Physically Based Rendering: From Theory to Implementation" book.

Main Web Site (Online Books)

Productive, portable, and performant GPU programming in Python.

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

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

Distributed Asynchronous Hyperparameter Optimization in Python

A list of references on lidar point cloud processing for autonomous driving

Pytorch framework for doing deep learning on point clouds.

Pytorch framework for doing deep learning on point clouds.

SpV8 is a SpMV kernel written in AVX-512. Artifact for our SpV8 paper @ DAC '21.