Clyde1006

Clyde1006's Stars

• hichenway/stock_predict_with_LSTM

  Predict stock with LSTM supporting pytorch, keras and tensorflow

  Language:Python7352112292

• umbertogriffo/Predictive-Maintenance-using-LSTM

  Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

  Language:Python625265238

• loliverhennigh/Computational-Fluid-Dynamics-Machine-Learning-Examples

  This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.

  Language:Python27130590

• AndreWeiner/machine-learning-applied-to-cfd

  Examples of how to use machine learning algorithms in computational fluid dynamics.

  Language:Jupyter Notebook23618086

• luo-yining/CFDBench

  A large-scale benchmark for machine learning methods in fluid dynamics

  Language:Python1174915

• lwb-xmu/Multivariate-multi-step-time-series-forecasting-via-LSTM

  多元多步时间序列的LSTM模型预测——基于Keras

  Language:Jupyter Notebook751223

• shenzhihao/CFDEMInterFoamIB

  A CFDEM solver to simulate the interaction between two-phase fluids and granular materials

  Language:C++35227

• yezhichen2/cnn_lstm

  基于Keras的LSTM多变量时间序列预测

  Language:Python22205

• simzero/cudaParticlesFoam

  :rocket: GPU-accelerated particle tracking for OpenFOAM

  Language:C++19122

• ping86776/LSTM_prediction

  基于LSTM的预测模型，支持多维数据的预测

  Language:Python12213

• yundij/ANN_OpenFOAM

  Examples to deploy neural-network-based sub-grid drag model in C++ platforms (OpenFOAM and CFDEM)

  Language:C123

• fernandoitano/cnn-lstm-ga

  Language:Python4

• kaiwenup/lstm

  基于Keras的LSTM多变量时间序列预测

  Language:Python1002