TGLSTM
Pytorch implementation of LSTM for irregular time series (by FedericOldani)
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms. (by Nixtla)
TGLSTM | neuralforecast | |
---|---|---|
1 | 84 | |
11 | 2,537 | |
- | 7.7% | |
10.0 | 9.0 | |
about 4 years ago | about 13 hours ago | |
Python | Python | |
- | Apache License 2.0 |
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.
TGLSTM
Posts with mentions or reviews of TGLSTM.
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.
neuralforecast
Posts with mentions or reviews of neuralforecast.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-10.
- [D] Doubts on the implementation of LSTMs for timeseries prediction (like including weather forecasts)
- neuralforecast: NEW Data - star count:1877.0
- neuralforecast: NEW Data - star count:1773.0
- neuralforecast: NEW Data - star count:1749.0
- neuralforecast: NEW Data - star count:1696.0
- neuralforecast: NEW Data - star count:1663.0
What are some alternatives?
When comparing TGLSTM and neuralforecast you can also consider the following projects:
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 🚀.
darts - A python library for user-friendly forecasting and anomaly detection on time series.