1 Gluon
地址：star 2.8k+
地址：awslabs/gluon-ts: Probabilistic time series modeling in Python (github.com)
GluonTS is a Python package for probabilistic time series modeling, focusing on deep learning based models.
2 tsai
地址：star 2.2k+
地址：timeseriesAI/tsai: Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai (github.com)
tsai is an open-source deep learning package built on top of Pytorch & fastai focused on state-of-the-art techniques for time series tasks like classification, regression, forecasting, imputation...
tsai is currently under active development by timeseriesAI.
3 Getting Things Done With Pytorch
地址：star 1.6k+
地址：curiousily/Getting-Things-Done-with-Pytorch: Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT. (github.com)
Learn how to solve real-world problems with Deep Learning models (NLP, Computer Vision, and Time Series). Go from prototyping to deployment with PyTorch and Python!
4 Deep Learning Time Series
地址：star 1.7k+
地址：Alro10/deep-learning-time-series: List of papers, code and experiments using deep learning for time series forecasting (github.com)
List of state of the art papers focus on deep learning and resources, code, and experiments using deep learning for time series forecasting. Classic methods vs Deep Learning methods, Competitions...
5 Flow Forecast
地址：star 1k+
地址：AIStream-Peelout/flow-forecast: Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). (github.com)
Flow Forecast (FF) is an open-source deep learning for time series forecasting framework. It provides all the latest state of the art models (transformers, attention models, GRUs) and cutting edge concepts with easy to understand interpretability metrics, cloud provider integration, and model serving capabilities. Flow Forecast was the first time series framework to feature support for transformer based models and remains the only true end-to-end deep learning for time series forecasting framework. Currently, Task-TS from CoronaWhy primarily maintains this repository. Pull requests are welcome. Historically, this repository provided open source benchmark and codes for flash flood and river flow forecasting.
6 Awesome-time-series-database
地址：star 652
地址：xephonhq/awesome-time-series-database: :clock7: A curated list of awesome time series databases, benchmarks and papers (github.com)
A curated list of time series databases. For filtering based on language, backend etc.
7 Sktime
地址：star 556
地址：sktime/sktime-dl: sktime companion package for deep learning based on TensorFlow (github.com)
TensorFlow is now a soft dependency in sktime, so we are going to initially just port these classifiers over. We have not been very good at maintaining this repo, so hopefully it will be easier when it is part of sktime proper. We would welcome any contributors to deep learning components over there.
