The algorithm based on the UBQP model (Aref et al. 2018) for computing the exact value of frustration index (also called line index of balance)
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Updated
Oct 9, 2019 - Jupyter Notebook
The algorithm based on the UBQP model (Aref et al. 2018) for computing the exact value of frustration index (also called line index of balance)
The algorithm based on the XOR model (Aref et al. 2019) for computing the exact value of frustration index (also called line index of balance)
Lightweighted graph optimization (Factor graph) library.
SE(2)-Constrained Localization and Mapping by Fusing Odometry and Vision (IEEE Transactions on Cybernetics 2019)
Sparse and dynamic camera network calibration with visual odometry
A nonlinear least square(NLLS) solver. Fomulate the NLLS as graph optimization.
Implementation of Least Squares Graph Optimization algorithm for graph-based SLAM.
Repository of the ECML PKDD 2021 tutorial title 'Machine Learning Meets Internet of Things: From Theory to Practice'
Bundle adjustment demo using Ceres Solver, with customized cost function and local parameterization on SE(3)
Code for paper 'Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware'
A curated list of amazingly awesome things regarding Graph Structure Learning.
my implimentiona and implimentation of visual based SLAM algorithms
GPU implementation of Floyd-Warshall and R-Kleene algorithms to solve the All-Pairs-Shortest-Paths(APSP) problem on Graphs. Code includes random graph generators and benchmarking/plotting scripts.
Source Code for 'Entropy Regularization for Unsupervised Clustering with Adaptive Neighbors' (PR)
High Information Mapper (HiMap), successor of the Lead Optimization Mapper (LOMAP)
Deploy RT-EDTR with onnx from paddlepaddle framwork and graph cut
Python binding of SLAM graph optimization framework g2o
DGORL: Distributed Graph Optimization based Relative Localization of Multi-Robot Systems
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
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