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asr_theory

语音识别理论，论文和PPT

bearing_detection_by_conv1d

[深度应用]·DC竞赛轴承故障检测开源Baseline（基于Keras1D卷积 val_acc:0.99780）

beat

Bayesian Earthquake Analysis Tool

c2f-fwn

data/code repository of "C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer"

convnetquake

Convolutional Neural Network for Earthquake detection and location

cqcc

cwru

deap

Distributed Evolutionary Algorithms in Python

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dgm2

dsarf

DSARF: Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting (AAAI2021)

dtw-pool

Implementation of dynamic temporal pooling (DTP) for time series classification

earthquake

:globe_with_meridians: Earthquake app with USGS Earthquakes API

earthquake-website

USGS Earthquake Hazards Program Website

eqcorrscan

Earthquake detection and analysis in Python.

esmd

It is a computing program in matlab for ESMD method, which is an extreme-point symmetric mode decomposition (ESMD) method is proposed to improve the Hilbert-Huang Transform (HHT) through the following prospects: (1) The sifting process is implemented by the aid of 1, 2, 3 or more inner interpolating curves, which classifies the methods into ESMD_I, ESMD_II, ESMD_III, and so on; (2) The last residual is defined as an optimal curve possessing a certain number of extreme points, instead of general trend with at most one extreme point, which allows the optimal sifting times and decompositions; (3) The extreme-point symmetry is applied instead of the envelop symmetry; (4) The data-based direct interpolating approach is developed to compute the instantaneous frequency and amplitude. One advantage of the ESMD method is to determine an optimal global mean curve in an adaptive way which is better than the common least-square method and running-mean approach; another one is to determine the instantaneous frequency and amplitude in a direct way which is better than the Hilbert-spectrum method. These will improve the adaptive analysis of the data from atmospheric and oceanic sciences, informatics, economics, ecology, medicine, seismology, and so on.

gdn

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"

geatpy

Evolutionary algorithm toolbox and framework with high performance for Python

grnn_python

Generalized Regression Neural Network for regression

imagefusion

基于小波变换的图像融合方法技术研究

imagefusion_ihs

此项目为基于小波变换的遥感GF-1图像融合

machine-learning-with-python

Python code for common Machine Learning Algorithms

machine-learning-with-python-1

matlab_wavelet

用matlab实现小波变换 处理图像

mealpy

A collection of the state-of-the-art MEta-heuristics ALgorithms in PYthon (mealpy)

mechanical-datasets

mfcc-word-recognition

Signal Processing Course, MFCC with VQ, DTW, HMM, KNN, CNN, etc

mwcnn

Multi-level Wavelet-CNN for Image Restoration

nonlinear-optimization-algorithms

MATLAB implementations of a variety of nonlinear programming algorithms.

optimization_algorithm

非线性优化主要算法的Matlab程序，有精确线搜索的0.618法和抛物线法, 非精确线搜索的Armijo准则, 最速下降法, 牛顿法, 共轭梯度法, BFGS 算法, DFP 算法, Broyden 族方法, 信赖域方法, 求解非线性最小二乘问题的L-M算法, 解约束优化问题的乘子法, 求解二次规划的有效集法, SQP 子问题的光滑牛顿法以及求解约束优化问题的SQP方法等. 程序基本通用.