Alternatives and similar repositories for PAPER2

Users that are interested in PAPER2 are comparing it to the libraries listed below

• harimkang / LSTM-Prediction
  LSTM Prediction for time series data (jean sales data set) using matlab
  ☆66Updated 5 years ago
• ahdsfan / VMD-SSO-LSTM
  VMD-SSO-LSTM
  ☆21Updated 2 years ago
• tiehangd / CNN_LSTM_language_model
  Implementation from scratch of a CNN-LSTM network for language models. Useful features are extracted from the CNN layer below and then fe…
  ☆26Updated 2 years ago
• imamcs19 / Improve-Deep-Learning-With-PSO-For-Classification
  Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification
  ☆20Updated last year
• XinweiJiang / VMD
  variational mode decomposition and its variants
  ☆65Updated 5 years ago
• MVRonkin / dsatools
  Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parame…
  ☆139Updated 2 years ago
• cwxcode / LSTM-matlab
  LSTM by matlab
  ☆56Updated 8 years ago
• yzbbj / Fault-prognosis-using-LSTM-and-CNN
  Fault prognosis using LSTM and CNN
  ☆18Updated 3 years ago
• Yorkson-huang / KOA-CNN-LSTM-Attention
  An Improved Hybrid CNN-LSTM-Attention Model with Kepler Optimization Algorithm for Wind Speed Prediction
  ☆24Updated last month
• ELSHCH / LSTM_Predict_Matlab
  LSTM model for advanced prediction of variations in climate data
  ☆21Updated 3 years ago
• SiddarthaManepalli / Forecasting-spread-of-COVID19
  Forecasting the spread of COVID-19 epedemic over India Region using ARIMA (p,d,q) model
  ☆11Updated 5 years ago
• Skythianos / CNN-LSTM
  CNN-LSTM
  ☆12Updated 4 years ago
• ron1818 / PhD_code
  r and matlab code, datasets, published papers for my phd study 2011-2015
  ☆45Updated 9 years ago
• HirojiSawatari / EEMD-Project
  This is a MATLAB project which can calculate EMD/EEMD
  ☆88Updated 8 years ago
• DimasDMM / time-series-classification
  Binary Time Series Classification using two different approaches: LSTM with Dropout and LSTM with Attention.
  ☆13Updated 5 years ago
• iqiukp / RVM-MATLAB
  MATLAB code for Relevance Vector Machine using SB2_Release_200.
  ☆56Updated 3 years ago
• huangxueying626929685 / Futures-forecast-PSO-SVM
  利用PSO优化的SVM进行期货预测
  ☆23Updated 6 years ago
• Bmajor98 / emd
  Python implementations of empirical mode decomposition as well as EEMD and CEEMD variants.
  ☆29Updated 4 years ago
• akanksha2016 / AI_Project
  Comparative study of Prediction Models for Air Pollutant ( ANN, PCA-ANN, ANFIS, PCA-ANFIS )
  ☆23Updated 8 years ago
• shenmusmart / VMD_python
  Variational Mode Decomposition for Python
  ☆61Updated 5 years ago
• slaweks17 / ES-dRNN
  Short Term Load Forecasting with ES-dRNN
  ☆14Updated 2 years ago
• JingweiToo / Whale-Optimization-Algorithm-for-Feature-Selection
  Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.
  ☆28Updated 4 years ago
• matlab-deep-learning / transformer-networks-for-time-series-prediction
  Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction
  ☆56Updated last year
• mahdi-usask / Wind-Speed-Forecasting-for-wind-power-generation-plant.-Neural-Network-ML-based-prediction-algo.-
  For largescale wind power penetration Wind speed prediction is a basic requirement of wind energy generation. There are many artificial n…
  ☆48Updated 3 years ago
• yzbbj / Bayesian-optimized-CNN
  Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis
  ☆15Updated 3 years ago
• alexalex222 / Wind-Speed-Prediction
  Wind speed prediction using machine learning algorithms and time-series models
  ☆12Updated 10 years ago
• mijancse / Deep-Neural-Network-based-Approaches-in-Wind-Time-Series-Forecasting
  This respiratory contains the implementation codes of wind-speed prediction in energy forecasting. This study focused on deep neural netw…
  ☆11Updated 3 years ago
• vrcarva / ewtpy
  Empirical wavelet transform (EWT) in Python
  ☆93Updated 5 years ago
• HJprint / University_project_vmd_majorization
  使用vmd算法对含有噪声的图像信号进行分解，去除掉噪声信号，将剩余信号合成，得到去噪声图像。分别使用alo、ao、ga、gwo、mpa、spo、woa算法对vmd算法中的参数进行优化，实现快速、准确的完成图像信号的分解。
  ☆98Updated 2 years ago
• YesDong / signal-recognition
  Use Hilbert-Huang Transform(EMD), MFCC, semi-supervised Rough Fuzzy Laplacian Eigenmap(SS-RFLE) to extract features of signals. Use FCM,…
  ☆48Updated 7 years ago