supermastar

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.

RBFNN

A (simple) radial base function neural network (RBFNN) for sklearn

Radial-Basis-Function-Neural-Network-RBF-

rbf-dda

Radial Basis Function (RBF) with Dynamic Decay Adjustment (DDA) algorithm

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.

gpt4free

The official gpt4free repository | various collection of powerful language models

UniRepLKNet

[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition