SPH_Taichi
A high-performance implementation of SPH in Taichi. (by erizmr)
assistive-gym
Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance. (by Healthcare-Robotics)
| SPH_Taichi | assistive-gym | |
|---|---|---|
| 2 | 1 | |
| 183 | 296 | |
| - | 1.0% | |
| 10.0 | 0.0 | |
| over 1 year ago | 4 months ago | |
| Python | Python | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
SPH_Taichi
Posts with mentions or reviews of SPH_Taichi.
We have used some of these posts to build our list of alternatives
and similar projects.
-
I implemented an SPH simulator in Taichi (1/2). Dragon Bath demo: ~420 K particles, ~280 FPS on RTX 3090 GPU, with timestep 4e-4
See source code: https://github.com/erizmr/SPH_Taichi
- I implemented a high-performance SPH simulator in Taichi
assistive-gym
Posts with mentions or reviews of assistive-gym.
We have used some of these posts to build our list of alternatives
and similar projects.
-
PyBullet objects act abnormally and I don't know why
So basically I am adding some new objects to this: https://github.com/Healthcare-Robotics/assistive-gym
What are some alternatives?
When comparing SPH_Taichi and assistive-gym you can also consider the following projects:
Robotics-Object-Pose-Estimation - A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
ChessPieceVision - Display pieces' moves on chessboards topologically with inverse-square law repulsion and Hooke's law springs (and a lot more) in 3D