gradslam
gradslam is an open source differentiable dense SLAM library for PyTorch
Construct and experiment with advanced 3D mapping systems using a library designed for deep learning and robotics.
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 anytimegradslam is an open source differentiable dense SLAM library for PyTorch
gradslam has 1.4k stars on GitHub. It has been forked 166 times. gradslam is written mainly in Python. It has been in active development since 2020. gradslam is available under the MIT license. Its main topics are 3d-reconstruction, deep-learning, machine-learning, robotics.
What is gradslam?
gradslam is an open source differentiable dense SLAM library for PyTorch
Is gradslam open source?
gradslam is an open-source project. It is released under the MIT license.
Is gradslam free?
Yes. gradslam is free and open source — you can use, modify and self-host it.
What license does gradslam use?
gradslam is available under the MIT license.
What language is gradslam written in?
gradslam is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/gradslam-gradslam.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.