latent_ode
tsai
| latent_ode | tsai | |
|---|---|---|
| 1 | 4 | |
| 486 | 4,730 | |
| - | 3.0% | |
| 10.0 | 7.4 | |
| over 3 years ago | 24 days ago | |
| Python | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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.
latent_ode
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[P] Deep Learning for time series forecasting (neuralforecast, python package)
I'm not current on what the SOTA is, but Time Gated LSTM is one example. Another is Latent ODEs for Irregularly-Sampled Time Series.
tsai
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Aeon: A unified framework for machine learning with time series
Also https://github.com/timeseriesAI/tsai
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What is the current state-of-art in sequence classification?
You might be interested in tsai. I am not affiliated with them and have not used tsai, but I have been planning to try it for too long … well :p
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[P] Deep Learning for time series forecasting (neuralforecast, python package)
how about tsai?
- Machine learning with Time series data
What are some alternatives?
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
nixtla - TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
mlforecast - Scalable machine 🤖 learning for time series forecasting.