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LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Probabilistic time series modeling in Python

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

List of papers, code and experiments using deep learning for time series forecasting

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

proof of concept for a transformer-based time series prediction model

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

A comprehensive time-series benchmark evaluating state-of-the-art deep learning architectures (PatchTST, TFT, N-HiTS) against traditional gradient boosting (CatBoost) for accurate 24-hour load prediction.

LibCity: An Open Library for Urban Spatial-temporal Data Mining