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University of Texas at Austin
- Austin, TX, US
- ssz990220.github.io
- in/sizhe-sui-10507815a
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Assignment skeleton for course on Discrete Differential Geometry (15-458/858)
Create beautiful diagrams just by typing notation in plain text.
A generative world for general-purpose robotics & embodied AI learning.
Publication-ready visualization of 3D objects and point clouds in seconds.
automatic differentiation made easier for C++
An expression template based linear algebra library running completely on the GPU using CUDA
an implementation of parallel linear BVH (LBVH) on GPU
μ-Cuda, COVER THE LAST MILE OF CUDA. With features: intellisense-friendly, structured launch, automatic cuda graph generation and updating.
CUDA-accelerated GIS and spatiotemporal algorithms
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Code samples for the CUDA tutorial "CUDA and Applications to Task-based Programming"
A Modern C++20 Library of Unified Incremental Potential Contact.
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
A simple parser libaray for URDF Files. That returns a robot object which can be used to access links, joints, transformation matrices, etc.
A optimized CUDA C++ code generation engine for rigid body dynamics algorithms and their analytical gradients.
RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (…
Robot kinematics implemented in pytorch
A GPU accelerated library for computing rigid body dynamics with analytical gradients
Code for paper "Learning Robot Geometry as Distance Fields: Applications to Whole-body Manipulation"
An efficient c++ library targeting robotics applications using geometric algebra
Resources for Physics based simulation in Computer Graphics 图形学中物理模拟的资源整理
Coverage planning in general polygons with holes.
Symbolic programming for the next generation of numerical software
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
A Python framework for high performance GPU simulation and graphics