forecasting

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.

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.

NeuralProphet: A simple forecasting package

Scalable and user friendly neural :brain: forecasting algorithms.

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 🚀.

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?"

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

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

Unified Training of Universal Time Series Forecasting Transformers

ARCH models in Python

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

A toolkit for time series machine learning and deep learning

Automated Time Series Forecasting

Django Ledger is a double entry accounting system and financial analysis engine built on the Django Web Framework.