Watch zxj/CEEMDAN-VMD-GRU

CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)

Watch zxj/TimeSeriesPrediction-LSTM-CEEMDAN-DWT

Watch zxj/CEEMDAN-LSTM

Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM

Watch zxj/Hybrid-CEEMDAN-VMD-LSTM-Model-for-Accurate-Non-Stationary-Time-Series-Forecas...

A forecasting model for the wholesale price index (WPI) of vegetables in India using CEEMDAN-VMD decomposition and LSTM to capture complex trends. The model offers accurate predictions to aid farmers, distributors, and policymakers in managing market stability, using data from 2013 to 2023.

Watch zxj/Gold-ATT-CEEMDAN-CNN-BiLSTM-Network

Multivariate Gold Futures Price Prediction Based on ATT-CEEMDAN-CNN-BiLSTM Network

Watch zxj/ceemdan-forecaster

CEEMDAN-Informer-LSTM financial time series forecasting pipeline with Kedro and Gradio GUI

Watch zxj/Wind-Power-Forecast---CEEMDAN

Watch zxj/tensorflow-MNIST-cGAN-cDCGAN

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

Watch zxj/predrnn-pp

Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)

Watch zxj/Keras-GAN

Keras implementations of Generative Adversarial Networks.