DiffEqOperators.jl
mujoco
Our great sponsors
| DiffEqOperators.jl | mujoco | |
|---|---|---|
| 3 | 20 | |
| 281 | 7,159 | |
| - | 4.0% | |
| 4.6 | 9.8 | |
| 11 months ago | 7 days ago | |
| Julia | C++ | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
DiffEqOperators.jl
-
Julia 1.7 has been released
>I hope those benchmarks are coming in hot
M1 is extremely good for PDEs because of its large cache lines.
https://github.com/SciML/DiffEqOperators.jl/issues/407#issue...
The JuliaSIMD tools which are internally used for BLAS instead of OpenBLAS and MKL (because they tend to outperform standard BLAS's for the operations we use https://github.com/YingboMa/RecursiveFactorization.jl/pull/2...) also generate good code for M1, so that was giving us some powerful use cases right off the bat even before the heroics allowed C/Fortran compilers to fully work on M1.
-
Why are NonlinearSolve.jl and DiffEqOperators.jl incompatible with the latest versions of ModelingToolkit and Symbolics!!!? Symbolics and ModelingToolkit are heavily downgraded when those packages are added.
(b) DiffEqOperators.jl is being worked on https://github.com/SciML/DiffEqOperators.jl/pull/467 .
-
What's Bad about Julia?
I like that they are colored now, but really what needs to be added is type parameter collapasing. In most cases, you want to see `::Dual{...}`, i.e. "it's a dual number", not `::Dual{typeof(ODESolution{sfjeoisjfsfsjslikj},sfsef,sefs}` (these can literally get to 3000 characters long). As an example of this, see the stacktraces in something like https://github.com/SciML/DiffEqOperators.jl/issues/419 . The thing is that it gives back more type information than the strictest dispatch: no function is dispatching off of that first 3000 character type parameter, so you know that printing that chunk of information is actually not informative to any method decisions. Automated type abbreviations could take that heuristic and chop out a lot of the cruft.
mujoco
- MuJoCo 3
-
Mujoco Question
I have installed mujoco-2.3.5-window-x86_64.zip and Source Code (zip) in https://github.com/deepmind/mujoco/releases. From download file, I extracted file and clicked simulate (mujoco-2.3.5-window-x86_6 -> bin); however it shows black screen. I am not sure what I am doing wrong.
-
Python Tutorials
Best place for technical MuJoCo questions is our GitHub repo (https://github.com/deepmind/mujoco) -- our entire team is notified for each issue posted there.
-
Mujoco + Unity => setting transform
Could you please post this question on https://github.com/deepmind/mujoco also? You'd me more likely to get an answer there since most of our team don't track Reddit questions.
-
Hi, i guys i have been working on bouncing ball experiment in Mujoco and i have had a fairly realistic effect of a ball bouncing, however i want it to be bouncing forward like tossing ball and it bounces forward? how can i achieve this? my XML is below
Could you please post this as an issue on https://github.com/deepmind/mujoco ?
-
MuJoCo Soft Surface Problem
Try posting in https://github.com/deepmind/mujoco/discussions ?
-
Deep RL with Mujoco environments using Docker on Apple Silicon
Not really. You can use conda or pip to install prebuilt mujoco packages that also include glfw. Check out https://github.com/deepmind/mujoco/blob/main/python/README.md
-
DeepMind's open-source version of MuJoCo available on GitHub
MuJoCo Github link
- MuJoCo Physics
- DeepMind open-sources MuJoCo Physics
What are some alternatives?
Gridap.jl - Grid-based approximation of partial differential equations in Julia
gazebo-classic - Gazebo classic. For the latest version, see https://github.com/gazebosim/gz-sim
BoundaryValueDiffEq.jl - Boundary value problem (BVP) solvers for scientific machine learning (SciML)
Bullet - Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
ApproxFun.jl - Julia package for function approximation
brax - Massively parallel rigidbody physics simulation on accelerator hardware.
FourierFlows.jl - Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains
CHRONO - High-performance C++ library for multiphysics and multibody dynamics simulations
julia - The Julia Programming Language
sofa - Real-time multi-physics simulation with an emphasis on medical simulation.
oxide-enzyme - Enzyme integration into Rust. Experimental, do not use.
LiquidFun - 2D physics engine for games