Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Tsai | 4,659 | 2 | 24 days ago | 47 | November 13, 2023 | 71 | apache-2.0 | Jupyter Notebook | ||
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai | ||||||||||
Practical Machine Learning With Python | 2,054 | a year ago | 19 | apache-2.0 | Jupyter Notebook | |||||
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system. | ||||||||||
Flow Forecast | 1,759 | 3 months ago | 101 | gpl-3.0 | Python | |||||
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). | ||||||||||
Time Series Transformers Review | 1,519 | 7 months ago | 3 | mit | ||||||
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series. | ||||||||||
Tsfpaper | 1,066 | 3 months ago | ||||||||
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model. | ||||||||||
Alphapy | 1,003 | 4 months ago | 25 | August 29, 2020 | 13 | apache-2.0 | Python | |||
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost | ||||||||||
Awesome Aiops | 747 | 4 years ago | 5 | |||||||
AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star | ||||||||||
Awesome Ai For Time Series Papers | 627 | 7 months ago | mit | |||||||
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals. | ||||||||||
Pypots | 558 | 3 months ago | 20 | November 30, 2023 | 14 | bsd-3-clause | Python | |||
A Python toolbox/library for reality-centric machine learning/deep learning on partially-observed time series with PyTorch, including SOTA models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data. https://arxiv.org/abs/2305.18811 | ||||||||||
Inceptiontime | 554 | 6 months ago | 29 | gpl-3.0 | Python | |||||
InceptionTime: Finding AlexNet for Time Series Classification |