LLM training in simple, raw C/CUDA

Instant neural graphics primitives: lightning fast NeRF and more

Learn CUDA Programming, published by Packt

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

Chamfer Distance in Pytorch with f-score

Neighborhood Attention Extension. Bringing attention to a neighborhood near you!

Pytorch package to compute Chamfer distance between point sets (pointclouds).

A shift-window based transformer for 3D sparse tasks

An GPU/CUDA implementation of the Hungarian algorithm

This is the official implementation of our EGSR 2023 paper, Accelerating Hair Rendering by Learning High-Order Scattered Radiance.

(NeurIPS'22) SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

Triple backward custom CUDA kernel for interpolation supporting third order gradients

Hands-on Learning about cpu vs gpu