xinyyhu

PDF

An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)

HTV_Trans

Time series forecasting

Leddam

[ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling".

patchtst_single_channel

RevIN

RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift

loss-landscape

Code for visualizing the loss landscape of neural nets

TDformer

for the realization of TDformer in the paper "First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting", thank you very much xiyuanzh for most of the implementation of the code!

xlstm

Official repository of the xLSTM.

deep-forecast-pytorch

Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)

Better_LSTM_PyTorch

An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.

lstms.pth

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

rnn_lstm_from_scratch

How to build RNNs and LSTMs from scratch with NumPy.

Pytorch-LSTM-Stock-Price-Predict

LSTM 实现的股票最高价预测

time-series-forecasting-pytorch

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM

time-series-prediction-lstm-pytorch

Time Series Prediction with LSTM Using PyTorch

lstm-gru-pytorch

LSTM and GRU in PyTorch

stock_predict_with_LSTM

Predict stock with LSTM supporting pytorch, keras and tensorflow

xlstm-resources

Resources about xLSTM by Sepp Hochreiter

DeepTrends

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)

load_forecasting

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

Time-series-Analysis-using-LSTM-RNN-and-GRU

Time series Analysis using LSTM,RNN and GRU with pytorch

Multivariate-Time-Series-Using-LSTM

LSTM_RNN_Tutorials_with_Demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

time_series_forecasting_pytorch

time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code

PyTorch-Tutorial-2nd

《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

polyskel

Straight skeleton implementation in Python

GNNs-Recipe

🟠 A study guide to learn about Graph Neural Networks (GNNs)

GNNPapers

Must-read papers on graph neural networks (GNN)

PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

sklearn-doc-zh

:book: [译] scikit-learn（sklearn） 中文文档