Is physics still maintained?

Yes, active. Last change 19 days ago.

New, little track record. 0 stars, 1 months old. Look at the code and the owner before running it.

gitmanual

Reading the repo

Opening the box…

How to install on Windows

takshsoni01-hub/physics

Massively parallel rigidbody physics simulation on accelerator hardware.

Python

Difficulty: Easy
Time: about 5 min
Stars: ★ 0
Activity: Updated this month

Before you start

Is it free?: YesOpen source (Apache-2.0).
Still maintained?: Yes, activeLast change 19 days ago.
Can I trust it?: New, little track record0 stars, 1 months old. Look at the code and the owner before running it.

Saved setup from 3 h ago

Will it work on Windows?

Yes, it runs on Windows

You'll build it yourself with Python.

Your system

macOS Windows Linux

4 steps on Windows

Download setup.ps1

Then run powershell -ExecutionPolicy Bypass -File .\setup.ps1. It stops at the first error and is safe to run again. Servers and tests aren't started; it lists them at the end. Read it first.

Clone the repository

Needs Git: winget install Git.Git

git clone https://github.com/takshsoni01-hub/physics.git
cd physics

2
Install the required runtimes
Python >=3.11
```
winget install Python.Python.3.11
```

Install dependencies

python -m venv .venv
.venv\Scripts\Activate.ps1
pip install -e .

4
Run the tests
```
pytest
```

From the README: Quickstart: Colab in the Cloud

Explore Brax easily and quickly through a series of colab notebooks:

Brax Basics introduces the Brax API, and shows how to simulate basic physics primitives.
Brax Training introduces Brax's training algorithms, and lets you train your own policies directly within the colab. It also demonstrates loading and saving policies.
Brax Training with MuJoCo XLA - MJX demonstrates training in Brax using the MJX physics simulator.
Brax Training with PyTorch on GPU demonstrates how Brax can be used in other ML frameworks for fast training, in this case PyTorch.

Did you get it running?

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