taichi_elements
taichi.js
taichi_elements | taichi.js | |
---|---|---|
2 | 3 | |
462 | 419 | |
4.3% | - | |
2.7 | 6.2 | |
about 1 month ago | 12 months ago | |
Python | TypeScript | |
MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
taichi_elements
- Taichi Elements: A high-performance multi-material continuum physics engine. Supports sparse grids and (virtually) infinitely large simulation domains
-
From molecular simulation to black hole rendering - Taichi-Lang makes life easier for digital content creators
You can use Taichi to create various physics solvers. A typical project is MLS-MPM-based taichi_elements, which enables simulations with one billion particles on a single GPU - the highest precision ever achieved by MPM on a single GPU! And all it takes is about 1,000 lines of code.
taichi.js
-
Deep Learning in JavaScript
FWIW also taichi is quite popular in python and seems has some javascript related implementation (I haven't used it though), taichi.js [0]
[0] https://github.com/AmesingFlank/taichi.js
-
How does Taichi differ from PyTorch? They are different in every sense!
The independent compilation and execution leaves Taichi with more possibilities. Though embedded in Python, Taichi is not Python-specific. In fact, our community developer AmesingFlank is working on a Javascript frontend. You can check out some cool preliminary demos in the taichi.js github repo.
-
From molecular simulation to black hole rendering - Taichi-Lang makes life easier for digital content creators
Taichi.js is a powerful project that adds a JS frontend to Taichi and compiles Taichi to WASM with Emscripten, allowing users to transform Javascript functions into WebGPU compute shaders for massive parallelization. If your browser supports WebGPU, you can try it out on Playground | taichi.js.
What are some alternatives?
2d-fluid-simulator - 2D incompressible fluid solver implemented in Taichi.
pyasflip - Python implementation of the ASFLIP advection method
BlenderPythonRenderer - A Python GPU renderer for Blender using the Taichi package
examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
taichimd - Interactive, GPU-accelerated Molecular Dynamics using the Taichi programming language
taichi - Productive, portable, and performant GPU programming in Python.
Cameray - A lens editor and simulator for fun.
awesome-taichi - A curated list of awesome Taichi applications, courses, demos and features.
PlasticineLab - Code for paper "PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics"