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

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

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

list of papers, code, and other resources

Lightweight, useful implementation of conformal prediction on real data.

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

A use-case focused tutorial for time series forecasting with python

Resources for working with time series and sequence data

A comprehensive survey on the time series domains

Machine learning models for time series analysis

Loud ML is the first open-source AI solution for ICT and IoT automation

Summary of open source code for deep learning models in the field of traffic prediction

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

copper price(time series) prediction using bpnn and lstm

Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)

Valid and adaptive prediction intervals for probabilistic time series forecasting.

A python multi-variate time series prediction library working with sklearn

A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)

EEMD、LSTM、time series prediction、DO、Deep Learning

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

[SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective

Discover and Unleash the power of time series analysis with the Time Series Guide! Repository is your one stop shop for all things time series.