Forecasting-air-pollution-LSTM-model-and-Regression-trees-model

Statsmodels: statistical modeling and econometrics in Python

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

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

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

Probabilistic time series modeling in Python

Time series forecasting with PyTorch

Merlion: A Machine Learning Framework for Time Series Intelligence

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

TimeGPT-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 ?.

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