vosk-build-model
Time-Series-Library
vosk-build-model | Time-Series-Library | |
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1 | 3 | |
53 | 4,362 | |
- | 9.1% | |
0.0 | 8.7 | |
over 2 years ago | 4 days ago | |
Shell | Python | |
MIT License | MIT License |
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vosk-build-model
Time-Series-Library
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[D] Doubts on the implementation of LSTMs for timeseries prediction (like including weather forecasts)
Don't use an LSTM. Get up to date with SoTA methods and read the papers in the field. LSTMs are not the way forward. Read the papers I suggested. It would be very useful to come to grips with both the Time Series Repository (https://github.com/thuml/Time-Series-Library) and Darts (https://github.com/unit8co/darts) as these are widely used for research and in industry.
- GitHub - thuml/Time-Series-Library: A Library for Advanced Deep Time Series Models.
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Inverted Transformers Are Effective for Time Series Forecasting
Cool! I find it has been implemented in the tslib (https://github.com/thuml/Time-Series-Library), the results seem promising when I reproduce the experiments.
What are some alternatives?
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autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon]
speech-to-text-benchmark - speech to text benchmark framework
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zeroth - Kaldi-based Korean ASR (한국어 음성인식) open-source project
darts - A python library for user-friendly forecasting and anomaly detection on time series.