A 3D sparse LBM solver implemented using Taichi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Image-based Parallel Linear Algebra

Fusing Taichi into PyTorch

Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)

This repository contains implementations and illustrative code to accompany DeepMind publications

Parallel solvers for sparse linear systems featuring multigrid methods.

Grid-based approximation of partial differential equations in Julia

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Productive, portable, and performant GPU programming in Python.

A library for scientific machine learning and physics-informed learning

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Narrow-Band Topology Optimization on a Sparsely Populated Grid, ACM Transactions on Graphics (SIGGRAPH Asia 2018)

Plenoxels: Radiance Fields without Neural Networks

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

🕸️ input/output for many mesh formats