ynha

Fcmalgopy

Intuitionistic fuzzy c-means algorithm based on kernels hybridized with a metaheuristic applied to data classification

Electric-Vehicle-Routing

Enhancing Electric Vehicle Routing Efficiency Through K-Means Clustering and Genetic Algorithm Optimization

max_sliced_wasserstein_distance

max_sliced_wasserstein_distance

swd-pytorch

Sliced Wasserstein Distance (SWD) in PyTorch

deepsleep2

A compact convolutional deep neural network with an encoder/decoder structure to detect at a 5-millisecond resolution level non-apnea sleep arousals from multi-channel polysomnographic recordings.

Optimized-K-Means

An optimization technique to optimize K-Means algorithm which is used to cluster a dataset.

PSO-Kmeans-Hybrid-for-High-Dimensional-Data-Clustering-with-Autoencoder

Enhancing the performance of high dimensional automatic data clustering using Particle Swarm Optimization (PSO) algorithm employing Autoencoder in Stock Market data.

torch_DCEC

Pytorch Deep Clustering with Convolutional Autoencoders implementation

GMVAE

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

TurnoverRatio_Prediction_Pytorch

使用深度学习模型LSTM和ConvLSTM结合Attention，对金融衍生品的成交持仓比指标进行预测

GAN-ConvLSTM

GAN based ConvLSTM in precipitation prediction (Trial Version)

Preformer

This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting”

DAST

The code of DAST

CR-VAE

wiener-process

matlab code of wiener process example

VarGamma

Variance Gamma distribution (Python): pdf, cdf, rand and fit.

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

state_estimation_EKF

EKF-master

最优估计课程作业

EKF

Extended Kalman Filter

EKF

Multi-Robot-Relative-Pose-Estimation

EKF, UKF, PF, ESEKF

EKF_for_StateOfCharge_SoC__Estimation

This is Python implementation of EKF(Extended Kalman filter) for state of charge estimation of battery

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

SKF

The project aims to construct the code for a switching Kalman filter, smoother and and an EM algorithm for the parameter fitting.

Deep-Learning-Based-State-Estimation

Incorporating Transformer and LSTM to Kalman Filter with EM algorithm

KalmanFilter

Parameter estimation of the Kalman filter using the EM algorithm

CNN-Attention-Collection

collect all attention module for cnn networks

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation