Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.
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Updated
Nov 30, 2022 - Python
Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.
An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing
Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.
SE3 interpolation and Quat+R^3 interpolation are implemented.
Lie groups and algebra with some quaternions
Numerically stable implementation of batched SE(3) exponential and logarithmic maps
Lightweight C++ header-only template library for translation, rotation and homogeneous transformation. Requires C++17 or Later. No dependencies with other libraries and stl.
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