pytorch lstm projects
Here is a collection of Pytorch LSTM Projects designed for Stock Price Prediction.
Below is a curated list of GitHub projects that use PyTorch and LSTM neural networks to forecast stock prices. Each entry includes a hyperlink and a brief description.
- ZhangJunfengAI/LSTM-Stock-Price-Prediction-PyTorch – Implements full-sequence and next-day LSTM forecasting on FTSE 100 index data, with training and dropout configuration. The aim of this project is to implement these three prediction methods, building on the ideas from the article: article, using PyTorch7's LSTM (torch.nn.LSTM) and running it on the FTSE 100 Index price as an example. References: jaungiers, datacamp, github/pythorch
- Abstract-Dex/Stock-Price-Prediction-LSTM – Simple Jupyter Notebook using 7-day Amazon stock windows to predict the next day7's closing price with PyTorch LSTM.
- JunanMao/Stock-Price-Prediction-using-LSTM – Feature-rich model with data preprocessing, early stopping, and dropout. Shows strong performance (R² ≈ 0.91).
- AlexG3178/Stock-Price – End-to-end LSTM pipeline including GPU support, data normalization, model training, and visualization.
- jinglescode/time-series-forecasting-pytorch – Uses Alpha Vantage API with a full script covering LSTM modeling, scaling, and prediction generation.
- SudharshanSrikanth/AI-Stock-Prediction – Reads CSV files, applies scaling, trains LSTM, and visualizes the output against ground truOAth prices.
- Srikanth0401/Stock_Prediction – Fetches stock data using Alpha Vantage API, includes LSTM training, error evaluation, and prediction plots.
- JLCarter1999/PyTorch-Basic-LSTM-Stock-Predictor – Educational notebook using 100-day window on NVDA stock, complete with GPU support and trend plots.