Python implementation of the paper "A CNN–LSTM model for gold price time-series forecasting". Published in Neural Computing and Applications.

基于LSTM的时间序列预测研究

深度学习以进行时间序列预测

Short-term Air Quality Prediction Based on EMD-Transformer-BiLSTM

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

This is my final year project, in which i have explored the non-linear, non-stationary Time Series Forecasting. In this there are three approaches, LSTM, EEMD_LSTM, CEEMDAN_LSTM. EMD and it's varia…

Forecasting Apple Inc stock prices using hybrid method of EMD (Empirical Mode Decomposition) and various machine learning algorithms such as ARIMA, RNN, Kernel-SVM, Gaussian Process and LSTM

In PyTorch Learing Neural Networks Likes CNN、BiLSTM

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

Hierarchically-Refined Label Attention Network for Sequence Labeling

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

Springboot+mybatisplus+Layui+mysql制作的图书管理系统

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

《机器学习》（西瓜书）公式详解

27天成为Java大神

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

吴恩达老师的机器学习课程个人笔记