sktime
sysidentpy
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sktime | sysidentpy | |
---|---|---|
8 | 7 | |
7,330 | 300 | |
2.0% | - | |
9.8 | 8.2 | |
1 day ago | about 1 month ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sktime
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Keras-tuner tuning hyperparam controlling feature size
I would recommend you to read the following paper: https://arxiv.org/abs/1909.04939 and their implementation: https://github.com/hfawaz/InceptionTime . Moreover, check out sktime: https://github.com/sktime/sktime
- Forecasting three months ahead.
- Scikit-Learn Version 1.0
- Darts: Non-Facebook alternative for timeseries forecasting
sysidentpy
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I'm giving out microgrants to open source projects for the third year in a row! Brag about your projects here so I can see them, big or small!
Four years ago, I started working on SysIdentPy in my master's degree to make a free and open source alternative to Matlab's System Identification package.
I'm the only maintainer, but I keep including new features (some exclusives, like the algorithm I've developed in my thesis to create NARMAX models), improving the code and documentation, and fixing bugs.
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Criei uma biblioteca open source para previsão de séries temporais
github: wilsonrljr/sysidentpy: A Python Package For System Identification Using NARMAX Models (github.com)
What are some alternatives?
darts - A python library for user-friendly forecasting and anomaly detection on time series.
tslearn - The machine learning toolkit for time series analysis in Python
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
scikit-learn - scikit-learn: machine learning in Python
pysindy - A package for the sparse identification of nonlinear dynamical systems from data
neural_prophet - NeuralProphet: A simple forecasting package
greykite - A flexible, intuitive and fast forecasting library
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification
db-benchmark - reproducible benchmark of database-like ops