Repairing Man-Made Meshes via Visual Driven Global Optimization with Minimum Intrusion

A toolkit for 3D computer vision tasks.

A Python framework for high performance GPU simulation and graphics

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

The original ELIZA on an emulated CTSS environment

A modern cross-platform low-level graphics library and rendering framework

Official Implementation of paper accepted by ICLR2025-MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors

Unleashing Vecset Diffusion Model for Fast Shape Generation within 1 Second.

[CVPR 2025] TreeMeshGPT: Artistic Mesh Generation with Autoregressive Tree Sequencing

3DGS-to-PC: Convert a 3D Gaussian splatting scene into a dense point cloud or basic mesh with advanced customisation options and high-accuracy rendered point colours

High-level rendering components

Topological Deep Learning

Simplicial Representation Learning with Neural k-Forms

TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning

A pytorch library for graph and hypergraph computation.

Fast simplification of 3D surface meshes

Material for gpu-mode lectures

fit piecewise linear data for a specified number of line segments

3D Renderer Engine builds with Vulkan and C++ 20

Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction

Сross-platform Vulkan/OpenGL 3D engine for personal experimentation

OpenGL C++ Graphics Engine

[CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

Official implementation for "DMesh++: An Efficient Differentiable Mesh for Complex Shapes".

Python implementation of surface mesh resampling algorithm ACVD

[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.

A collection of unusual mesh processing algorithms.

📚Modern CUDA Learn Notes: 200+ Tensor/CUDA Cores Kernels🎉, HGEMM, FA2 via MMA and CuTe, 98~100% TFLOPS of cuBLAS/FA2.