Name: Xie Yuchen
Type: User
Company: Beijing University of Civil Engineering and Architecture
Bio: A graduate student majoring in transportation planning and management at Beijing Jianzhu University, with a research focus on rail passenger flow prediction.
Location: BeiJing, China
Xie Yuchen's Projects
Simple python example on how to use ARIMA models to analyze and predict time series.
CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
Dual Staged Attention Model for Time Series prediction
机器学习数据集的可视化
Facebook AI研究序列到序列工具包,用Python编写。
Must-read papers on graph neural networks (GNN)
贵校课程资料民间整理
LSTM使用Keras Python包构建,用于预测时间序列步骤和序列。包括正弦波和股市数据
LSTM-XGBoost Time Series Forecasting
Courses for Python Learning
:book: [译] scikit-learn(sklearn) 中文文档
TensorFlow-based neural network library
This project uses jqdata to forecast the price of Chinese stock. The methods used include LSTM, LSTM_CNN, CNN_ LSTM, AdaBoost, random forest, and using AdaBoost to integrate LSTM
深度学习模型和数据集库,旨在使深度学习更容易访问并加速ML研究。
This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time series data to make forecasts. The code is implemented in pyhton with Keras (Tensorflow backend).
Transportation Networks for Research
:heart:**科学技术大学课程资源
lstm-rnn, seq2seq model and attention-seq2seq model for vessel trajectory prediction.
浙江大学课程攻略共享计划