latent_ode
TGLSTM
| latent_ode | TGLSTM | |
|---|---|---|
| 1 | 1 | |
| 486 | 11 | |
| - | - | |
| 10.0 | 10.0 | |
| over 3 years ago | about 4 years ago | |
| Python | Python | |
| 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.
latent_ode
-
[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.
TGLSTM
-
[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?
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
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 🚀.
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
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
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.