tslearn
neural_prophet
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tslearn | neural_prophet | |
---|---|---|
51 | 5 | |
2,780 | 3,635 | |
1.4% | - | |
6.9 | 8.6 | |
5 days ago | 10 days ago | |
Python | Python | |
BSD 2-clause "Simplified" License | MIT License |
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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.
tslearn
neural_prophet
- Facebook Prophet: library for generating forecasts from any time series data
- Time series analysis of Bitcoin price in Python with fbprophet ?!
- 14 September 2021 - Daily Chat Thread
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[D] Stock prediction using lstm(plz help)
NeuralProphet
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Financial time-series data forecasting - any other tools besides Prophet?
Neural Prophet: https://github.com/ourownstory/neural_prophet
What are some alternatives?
sktime - A unified framework for machine learning with time series
darts - A python library for user-friendly forecasting and anomaly detection on time series.
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
pytorch-forecasting - Time series forecasting with PyTorch
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.
Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
orbit - A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
R-Time-Series-Task-View-Supplement - R Time series packages not included in CRAN Task View: Time Series Analysis
sysidentpy - A Python Package For System Identification Using NARMAX Models