neural_prophet
DeepADoTS
Our great sponsors
| neural_prophet | DeepADoTS | |
|---|---|---|
| 5 | 1 | |
| 3,630 | 538 | |
| - | 0.0% | |
| 8.6 | 0.0 | |
| 7 days ago | almost 2 years ago | |
| Python | Python | |
| MIT License | MIT 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.
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
-
[D] Stock prediction using lstm(plz help)
NeuralProphet
-
Financial time-series data forecasting - any other tools besides Prophet?
Neural Prophet: https://github.com/ourownstory/neural_prophet
DeepADoTS
-
[D] Anomaly detection without training set?
Other than that, if you're looking for more complicated models you could try and adapt one of the models from this this GitHub repo for your task (this is an open source repo of some SOTA anomaly detection models).
What are some alternatives?
darts - A python library for user-friendly forecasting and anomaly detection on time series.
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
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.
Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.
orbit - A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
luminaire - Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
pytorch-forecasting - Time series forecasting with PyTorch
sysidentpy - A Python Package For System Identification Using NARMAX Models