TGLSTM
latent_ode
| TGLSTM | latent_ode | |
|---|---|---|
| 1 | 1 | |
| 11 | 486 | |
| - | - | |
| 10.0 | 10.0 | |
| about 4 years ago | over 3 years ago | |
| Python | Python | |
| - | MIT License |
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TGLSTM
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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.
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.
What are some alternatives?
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 🚀.
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
tsai - Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
mlforecast - Scalable machine 🤖 learning for time series forecasting.
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
tsfeatures - Calculates various features from time series data. Python implementation of the R package tsfeatures.