simpler-env/SimplerEnv
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
- Stars
- 1.2k
- Forks
- 201
- Open issues
- 30
- Last push
- 22d ago
About SimplerEnv
SimplerEnv is a free, open-source computer vision tool by simpler-env, written mainly in Jupyter Notebook. Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024). It has 1.2k GitHub stars and 201 forks, and was last updated 22d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Jupyter Notebook
- Stars
- 1,180
- Last update
- 22d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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SimplerEnv FAQ
Is SimplerEnv free?
Yes. SimplerEnv is open source and free to use. It's released under the MIT license, a standard open-source license.
Does SimplerEnv run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does SimplerEnv need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is SimplerEnv still maintained?
Yes. It was last updated 22d ago and has 30 open issues on GitHub.
What are alternatives to SimplerEnv?
Similar free, open-source tools include deep-learning-drizzle, pytorch-grad-cam, maths-cs-ai-compendium, supervision.