LTSF-Linear
neural_prophet
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| LTSF-Linear | neural_prophet | |
|---|---|---|
| 1 | 5 | |
| 1,783 | 3,635 | |
| 7.3% | - | |
| 4.5 | 8.6 | |
| 3 months ago | 10 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
LTSF-Linear
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[D] Transformer effectiveness for time series forecasting (doubts)
Found relevant code at https://github.com/cure-lab/DLinear + all code implementations here
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?
tidle-brain - TiDLE time-series forecasting in Tensorflow (Google. paper 2023)
darts - A python library for user-friendly forecasting and anomaly detection on time series.
Crossformer - Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
ETSformer - PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
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.
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.
sysidentpy - A Python Package For System Identification Using NARMAX Models
Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.
tslearn - The machine learning toolkit for time series analysis in Python
kafka-crypto-questdb - Using Kafka to track cryptocurrency price trends