Stars
Fast symbolic computation, code generation, and nonlinear optimization for robotics
Hydra is a framework for elegantly configuring complex applications
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
A library for differentiable nonlinear optimization
Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.
Gaussian Belief Propagation for Bundle adjustment and pose graph estimation.
A collection of GICP-based fast point cloud registration algorithms
gradslam is an open source differentiable dense SLAM library for PyTorch
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
The Differentiable Cross-Entropy Method
Custom implementation of Corrleation Module
Pytorch implementation of FlowNet by Dosovitskiy et al.
Open3D: A Modern Library for 3D Data Processing
Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
Simulator of vision-based tactile sensors.
Builds 2D signed distance fields from images, 3D signed distance fields from pointclouds, 3D signed distance fields from Octomap, provides a lightweight signed distance field library, message types…
supereight: a high performance template octree library and a dense volumetric SLAM pipeline implementation
A resource repository for 3D machine learning
A repository for 3D volumetric (occupancy) maps, providing a generic interface for disparity map and pointcloud insertion, and support for custom sensor error models.
C++ implementation for computing occupancy grids and signed distance functions (SDFs) from watertight meshes.
Image-to-Image Translation in PyTorch
[Siggraph Asia 2013] Large-Scale, Real-Time 3D Reconstruction
Gazebo/ROS packages for underwater robotics simulation