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An Object Oriented MATLAB toolkit for (Multi) Target Tracking.
A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking
Multi-task learning using message passing graph neural network for radar based perception functions
A grid implementation of clustering algorithm DBSCAN.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Hierarchical density based clustering for applications with noise
Matlab code of machine learning algorithms in book PRML
Some Python Implementations of the Kalman Filter
An Occupancy Grid Representation in Python
随机采样一致性算法，是在Ziv Yaniv的c++实现上重新实现了一次，加了中文注释，修正了一个错误。便于理解算法实现
An speed and accuracy tradeoff method for LiDAR-based road boundary detection method in structured environments
Some line fitting algorithms, including least-squares, ransac, hough and kalman filter.
A method that can construct the Occupancy Grid Map by Ultrasonic Radars, and we can detect free space, obstacles and other objects in that map.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
C library of Variational Inference for the Infinite Gaussian Mixture Model of haines/DPGMM base.
Multi-threaded generic RANSAC implemetation
Distributed variational Bayesian algorithms over sensor networks
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Pattern Recognition And Machine Learning 相关的学习资源
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Bayesian Learning and Neural Networks (jupyter book sources)
Sensor Fusion for Target Tracking