neat
[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Simulate and train self-driving cars using a virtual environment with defined routes and scenarios.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
neat has 329 stars on GitHub. It has been forked 49 times. neat is written mainly in Python. It has been in active development since 2021. neat is available under the MIT license. Its main topics are autonomous-driving, birds-eye-view, iccv2021, imitation-learning.
What is neat?
[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Is neat open source?
neat is an open-source project. It is released under the MIT license.
Is neat free?
Yes. neat is free and open source — you can use, modify and self-host it.
What license does neat use?
neat is available under the MIT license.
What language is neat written in?
neat is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/autonomousvision-neat.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.