[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Use Time-LLM to predict future trends based on past data using advanced language models.
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Time-LLM has 2.7k stars on GitHub. It has been forked 465 times. Time-LLM is written mainly in Python. It has been in active development since 2024. Time-LLM is available under the Apache-2.0 license. Its main topics are cross-modal-learning, cross-modality, deep-learning, language-model.
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Time-LLM is an open-source project. It is released under the Apache-2.0 license.
Yes. Time-LLM is free and open source — you can use, modify and self-host it.
Time-LLM is available under the Apache-2.0 license.
Time-LLM is written mainly in Python.
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