Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Statsmodels: statistical modeling and econometrics in Python

Fast and Accurate ML in 3 Lines of Code

A unified framework for machine learning with time series

A python library for user-friendly forecasting and anomaly detection on time series.

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Postgres with GPUs for ML/AI apps.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Chronos: Pretrained Models for Time Series Forecasting

Probabilistic time series modeling in Python

Time series forecasting with PyTorch

Lightning ⚡️ fast forecasting with statistical and econometric models.

Merlion: A Machine Learning Framework for Time Series Intelligence

NeuralProphet: A simple forecasting package

Scalable and user friendly neural 🧠 forecasting algorithms.

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

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