tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai (by timeseriesAI)
latent_ode
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper (by YuliaRubanova)
| tsai | latent_ode | |
|---|---|---|
| 4 | 1 | |
| 4,703 | 468 | |
| 2.5% | - | |
| 7.4 | 10.0 | |
| 12 days ago | over 3 years ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
tsai
Posts with mentions or reviews of tsai.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-22.
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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
latent_ode
Posts with mentions or reviews of latent_ode.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-07.
-
[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.
What are some alternatives?
When comparing tsai and latent_ode you can also consider the following projects:
darts - A python library for user-friendly forecasting and anomaly detection on time series.
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
nixtla - Python SDK for TimeGPT, a foundational time series model
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.