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Transformers might be a good alternative for time series compared to LSTM.
Mamba as well (not available in pytorch yet: https://github.com/pytorch/pytorch/issues/120189)
Other ideas: lstm with encod…
acxz updated
3 months ago
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Opening this issue to coordinating the various summer projects in relation to foundation models, deep learning, backends, interfaces.
Below a list of related umbrella issues and individual issues -…
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Hi, @jagjeet-singh
Thanks for sharing the baseline code. I'm trying to train the LSTM Social model and evaluate on the validation set.
The results of LSTM Social model on validation set are worse …
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# Modeltime Ecosystem Roadmap
The __`modeltime` project roadmap__ tracks the overall development of the Modeltime Ecosystem of forecasting packages. Modeltime is a cutting-edge ecosystem for forec…
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## Detailed Description
Diffusion models seem to be quite useful for a lot of image generation and high detail and much easier training than for GANs as generative models, e.g. StableDiffusion. Thi…
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# Moving Average (MA) and ARMA Models | Chan`s Jupyter
A Summary of lecture “Time Series Analysis in Python”, via datacamp
[https://goodboychan.github.io/python/datacamp/time_series_analysis/2020/06…
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[AutoGluon](https://auto.gluon.ai/stable/tutorials/timeseries/forecasting-quick-start.html) is an AutoML framework that also offers support for time series forecasting. Most if not all traditional mod…
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### Description
Proposal:
A transfer learning functionality in NeuralForecast core which handles a transfer learning process automatically to perform transfer learning and/or potential change to c…
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### Is this a unique feature?
- [X] I have checked "open" AND "closed" issues and this is not a duplicate
### Is your feature request related to a problem/unavailable functionality? Please describe.…
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**Describe the bug**
StatsForecastAutoARIMA does not seem to use multiple cores/jobs.
For my dataset with 2000 panel, monthly time series the Nixtla version takes around 2 seconds but minutes for…