Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Audio | 2,321 | 9 | 487 | 3 months ago | 29 | November 15, 2023 | 199 | bsd-2-clause | Python | |
Data manipulation and transformation for audio signal processing, powered by PyTorch | ||||||||||
Awesome Ts Anomaly Detection | 2,320 | 2 years ago | 1 | |||||||
List of tools & datasets for anomaly detection on time-series data. | ||||||||||
Awesome_time_series_in_python | 1,811 | a year ago | 4 | |||||||
This curated list contains python packages for time series analysis | ||||||||||
Pyts | 1,563 | 2 | 17 | 8 months ago | 19 | October 31, 2021 | 42 | bsd-3-clause | Python | |
A Python package for time series classification | ||||||||||
Autots | 935 | 3 months ago | 9 | November 28, 2023 | 17 | mit | Python | |||
Automated Time Series Forecasting | ||||||||||
Stratospherelinuxips | 598 | 4 months ago | 71 | other | Python | |||||
Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague. | ||||||||||
Timetk | 594 | 13 | 24 | 4 months ago | 23 | October 31, 2023 | 33 | R | ||
Time series analysis in the `tidyverse` | ||||||||||
Time Series Forecasting With Python | 499 | a year ago | 7 | Jupyter Notebook | ||||||
A use-case focused tutorial for time series forecasting with python | ||||||||||
Modeltime | 483 | 11 | 4 months ago | 27 | September 02, 2023 | 52 | other | R | ||
Modeltime unlocks time series forecast models and machine learning in one framework | ||||||||||
Real Time Stock Market Prediction | 395 | 3 years ago | JavaScript | |||||||
In this repository, I have developed the entire server-side principal architecture for real-time stock market prediction with Machine Learning. I have used Tensorflow.js for constructing ml model architecture, and Kafka for real-time data streaming and pipelining. |