Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.
-
Updated
Nov 30, 2022 - Python
#
se3
Here are 10 public repositories matching this topic...
An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing
-
Updated
Aug 23, 2021 - C++
Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
-
Updated
Feb 19, 2021 - Python
Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.
robotics
navigation
julia-language
imu
quaternion
sensors
slam
state-estimation
se2
se3
so3
inertial-sensors
preintegration
multimodal-isam
inertial-odometry
retroactive-bias-estimation
-
Updated
Nov 1, 2024 - Julia
SE3 interpolation and Quat+R^3 interpolation are implemented.
-
Updated
Aug 12, 2020 - C++
Lie groups and algebra with some quaternions
euler
quaternion
lie-groups
se2
3d
2d
se3
so3
logmap
lie-algebra
rotations-operations
expmap
rigid-transformations
-
Updated
Sep 17, 2024 - Julia
Numerically stable implementation of batched SE(3) exponential and logarithmic maps
-
Updated
Apr 23, 2024 - Python
Improve this page
Add a description, image, and links to the se3 topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the se3 topic, visit your repo's landing page and select "manage topics."