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Pretrained (Language) Models for Probabilistic Time Series Forecasting
Chronos is a family of pretrained time series forecasting models based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, probabilistic forecasts are obtained by sampling multiple future trajectories given the historical context. Chronos models have been trained on a large corpus of publicly available time series data, as well...
fully modular opensource firmware for the ez430 chronos
openchronos-ng is a major rework of openchronos. Compared to openchronos it has the following features:
* system message bus for system<->module communication.
* hardware RTC timekeeping (no more clock inaccuracy).
* rework of timer and ports drivers.
* implementation of a module system (drop in applications).
* rework of the display routines.
* rework of the menu system.
The firmware code is also conceptually simpler and smaller which leaves room for more modules (applications).