stoch-predict-with-Tranformer-LSTM stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM Environment 1.Python 3.8 2.PyTorch 3.TorchVision Install Create a virtual environment and activate it. conda create -n stock_predict python=3.8 conda activate stock_predict The code has been tested with PyTorch 1.8 and Cudatoolkit 11.1. conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia pip3 install pandas pip3 install matplotlib pip3 install tqdm pip3 install tensorboardX pip3 install opencv-python Train/evaluate To train and evaluate our model, you can run python3 main.py Plot To plot the figure of stoch predict,you can run python3 plot.py
