Popular GitHub Repositories for Time Series Prediction

Probabilistic time series modeling in Python

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

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

Lightweight, useful implementation of conformal prediction on real data.

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

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

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

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

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

EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM

This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting”

Code For Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention

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

A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:1704.02971)

A reorganized implementation of Informer based on PyTorch Lightning

Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms

[ICLR 2024] STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction

Boosted Hybrids of ensemble gradient algorithm for the long-term time series forecasting (LTSF)