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

Time series forecasting with PyTorch

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

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

Predict time-series with one line of code.

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

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

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

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

TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time…

spinesTS, a powerful toolset for time series prediction, is one of the cornerstones of PipelineTS.

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

An easy to use low-code open-source python framework for Time Series analysis, visualization, forecasting along with AutoTS

Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models

SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data