timeseries-forecasting

Time series forecasting with PyTorch

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

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

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

Modeltime unlocks time series forecast models and machine learning in one framework

Predict time-series with one line of code.

The fundamental package for AIops with python.

If you can measure it, consider it predicted

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases

[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

TKAN: Temporal Kolmogorov-Arnold Networks

TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning

A python package for time series forecasting with scikit-learn estimators.

A code implementation of new papers in the time series forecasting field.

Template to quickstart streaming analytics using Apache Kafka for ingestion, QuestDB for time-series storage and analytics, Grafana for near real-time dashboards, and Jupyter Notebook for data science

Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.

Temporal Kolmogorov-Arnold Transformer