lpfwhu

DL-based-Intelligent-Diagnosis-Benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

CEEMDAN_LSTM

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.

tensorflow

An Open Source Machine Learning Framework for Everyone

LSTNet

A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper

util

A repository that contains common generic utilities used by deep learning projects

Classification

四六级单词分类

Wrapper-Feature-Selection-Toolbox

This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.

CNN-BiLSTM-Attention-Time-Series-Prediction_Keras

CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

vmdpy

Variational mode decomposition (VMD) in Python

Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

pytorch-forecasting

Time series forecasting with PyTorch

most_popular_functions

Most commonly used functions on Github as of July 2016

Attention-CLX-stock-prediction

Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

MachineLearning_Python

机器学习算法python实现

MachineLearning

Machine learning resources，including algorithm, paper, dataset, example and so on.

Awesome-time-series

A comprehensive survey on the time series domains

dl-4-tsc

Deep Learning for Time Series Classification

ECG-Signal-Analysis

Recurrent-Fuzzy-Neural-Network

MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction

arxiv.repo

A list of papers on arxiv that have published project code.

CNNforCFD

This folder contains a sample code for the use of convolutional neural network for fluid force prediction of bluff body flows.

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.

SoundZone_Tools

Signal Processing Tools for MATLAB

SP_Lib

Signal processing method and algorithm library

interpretableCNN

PyEMD

Python implementation of Empirical Mode Decompoisition (EMD) method

DeepLearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

IntroNeuralNetworks

Introducing neural networks to predict stock prices

neural-storyteller

A recurrent neural network for generating little stories about images

simple-neural-network

A simple Python script showing how the backpropagation algorithm works.