Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Darts | 6,903 | 17 | 3 months ago | 32 | November 18, 2023 | 239 | apache-2.0 | Python | ||
A python library for user-friendly forecasting and anomaly detection on time series. | ||||||||||
Merlion | 3,179 | 3 | 7 months ago | 18 | June 28, 2022 | 14 | bsd-3-clause | Python | ||
Merlion: A Machine Learning Framework for Time Series Intelligence | ||||||||||
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. | ||||||||||
Luminaire | 660 | a year ago | 20 | November 23, 2022 | 18 | apache-2.0 | Python | |||
Luminaire is a python package that provides ML driven solutions for monitoring time series data. | ||||||||||
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. | ||||||||||
Awesome Timeseries Spatiotemporal Lm Llm | 541 | 3 months ago | 1 | |||||||
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data. | ||||||||||
Prophet Ruby | 361 | 4 months ago | 14 | July 12, 2022 | 1 | mit | Ruby | |||
Time series forecasting for Ruby | ||||||||||
Hyperts | 225 | 4 months ago | 3 | July 21, 2022 | 22 | apache-2.0 | Python | |||
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit. | ||||||||||
Deep Learning For Hackers | 196 | 4 years ago | 2 | mit | Jupyter Notebook | |||||
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT) |