1wolve

Air-Quality-Predicition

Using Machine Learning or Deep Learning to predict air quality

Dive-into-DL-PyTorch

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。

FaultPredictionSystem

毕设-设备故障预测系统

GRU_Prediction

load-forecasting-algorithms

使用多种算法（线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM）进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vector machine, BP neural network, GRU, LSTM) are used for power system load forecasting / power forecasting.

LSTM

基于LSTM神经网络的时间序列预测

1wolve/FaultPredictionSystem

毕设-设备故障预测系统

1wolve/Air-Quality-Predicition

Using Machine Learning or Deep Learning to predict air quality

1wolve/Dive-into-DL-PyTorch

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。

1wolve/GRU_Prediction

1wolve/load-forecasting-algorithms

使用多种算法（线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM）进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vector machine, BP neural network, GRU, LSTM) are used for power system load forecasting / power forecasting.

1wolve/LSTM

基于LSTM神经网络的时间序列预测