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prophet 是用 Python 编写的实用工具，用于解决具体场景问题。

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

DeepLearningExamples 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理，主打易用、适合生产环境。

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

statsmodels 是用 Python 编写的测试工具，用于自动化测试与验证。

Statsmodels: statistical modeling and econometrics in Python

autogluon 是用 Python 编写的学习资料，用于系统学习与查阅，主打速度快。

Fast and Accurate ML in 3 Lines of Code

sktime 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

A unified framework for machine learning with time series

darts 是用 Python 编写的学习资料，用于系统学习与查阅，主打易用。

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

awesome-project-ideas 是一个资源清单，按主题汇总同类优质资源。

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

postgresml 是用 Rust 编写的 AI 工具，用于人工智能方向的建模与推理。

Postgres with GPUs for ML/AI apps.

Informer2020 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

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

tsai 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

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

chronos-forecasting 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Chronos: Pretrained Models for Time Series Forecasting

gluonts 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Probabilistic time series modeling in Python

pytorch-forecasting 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Time series forecasting with PyTorch

statsforecast 是用 Python 编写的学习资料，用于系统学习与查阅，主打速度快。

Lightning ⚡️ fast forecasting with statistical and econometric models.

Merlion 是用 Python 编写的学习资料，用于系统学习与查阅。

Merlion: A Machine Learning Framework for Time Series Intelligence

neural_prophet 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打易用。

NeuralProphet: A simple forecasting package

neuralforecast 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打易用、可伸缩。

Scalable and user friendly neural :brain: forecasting algorithms.

nixtla 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发，主打适合生产环境。

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for…

time-series-transformers-review 是一个学习资料，用于系统学习与查阅。

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

LTSF-Linear 是用 Python 编写的学习资料，用于系统学习与查阅。

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

flow-forecast 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

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

orbit 是用 Python 编写的学习资料，用于系统学习与查阅。

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

PyPOTS 是用 Python 编写的学习资料，用于系统学习与查阅。

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network mod…

pmdarima 是用 Python 编写的学习资料，用于系统学习与查阅。

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