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wace723's Projects

ceemdan-ewt-lstm icon ceemdan-ewt-lstm

Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method

ceemdan_lstm icon ceemdan_lstm

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

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

ewt-python icon ewt-python

A python package for the empirical wavelet transform

ewtpy icon ewtpy

Empirical wavelet transform (EWT) in Python

informer2020 icon informer2020

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

llmsurvey icon llmsurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

stock-price-prediction-using-gan icon stock-price-prediction-using-gan

In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We us

styles icon styles

Official repository for Citation Style Language (CSL) citation styles.

tsai icon tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

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