supermastar's starred repositories
Multi-Object-tracking-2D
Use Kalman Filter and Hungarian algorithm to do tracking work based on 2D Lidar dataset of KITTI dataset
Kalman-filter-and-its-extensions
Kalman filter, Extended Kalman filter, Unscented kalman filter, Cubature Kalman filter, M-estimation Robust cubature kalman filter implementation for various linear and non linear systems like UAV position tracking, UAV angle of attack and pitch angle tracking, UAV direction of angle tracking etc.
Robot_Localization_Using_CubatureKalmanFilter
Given a known map, Square-root version of the cubature Kalman filter is used for robot localization
TightlyCoupledINSGNSS
INS/GNSS紧组合程序,使用伪距、伪距率、INS测量,支持双天线测向数据。
UrbanNavDataset
UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong
Neural-Network-using-RBF-kernel
Implementation of a RBF network using the evolutionary strategy algorithm in order to find optimal weights.
wind-turbine-power-curve-modelling
we utilize a novel quantile filtering algorithm, a Radial Basis Function and Multi-layer Perceptron Neural network
ISO_OLS_RBF
Generalized Improved Second Order RBF Neural Network with Center Selection using OLS
CIFAR-10-Image-Classification-Using-MLP-and-RBF
Implemented Multilayer Perceptron (MLP) and Radial Basis Function (RBF) neural networks from scratch in Python and used ResNet-34 as a feature extractor. Evaluated and compared the classification accuracy of the two networks on the CIFAR-10 dataset.
RBF_net_evolutionary_training
evolutionary-based approach in RBF neural network training
Radial-Basis-Functions-RBF
MATLAB implementations of different learning methods for Radial Basis Functions (RBF)
CIFAR10-HOG-PCA-SVM
Classifier for CIFAR-10. Grayscaling, HOG, PCA, and RBF SVM. 62% test accuracy. Walkthrough on YouTube: https://youtu.be/gmTweV0eHhk
PSO-RBF-NN
使用粒子群算法优化的RBF神经网络进行预测。RBF neural network optimized by particle swarm optimization is used for prediction.
RBF-Radial-Basis-Function-Network
C++ Implementation of the RBF (Radial Basis Function) Network and choosing centroids using K-Means++
RBF-BP-MATLAB
使用RBF、BP神经网络进行预测。RBF/BP neural network is used for prediction.
awesome-public-datasets
A topic-centric list of HQ open datasets.
UniRepLKNet
[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition