chronos-t5

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CreatmanCEO / datn

Multi-agent trading research stack: FinBERT + Chronos-T5 + Bayesian consensus + LLM-explained advisor.

python docker machine-learning kafka ai sentiment-analysis trading telegram-bot postgresql multi-agent fintech forecasting bayesian timescaledb fastapi finbert anthropic chronos-t5

Updated May 6, 2026
Python

sayandeep520 / Benchmarking-Physics-Informed-vs.-Foundation-Models-for-Cenozoic-Paleobiology

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Benchmarks Physics-Informed Neural ODEs vs. Fine-Tuned Foundation Models (Chronos) on Cenozoic fossil data. Includes a Random Forest analysis of the Lilliput Effect to test climate vs. taphonomy drivers. Results show Neural ODEs outperform generic Transformers (MSE 13.05) in reconstructing deep-time evolutionary history.

bioinformatics deep-learning computational paleoclimate paleontology macroevolution scientific-machine-learning neural-odes chronos-t5 computational-paleobiology

Updated Dec 14, 2025
Jupyter Notebook

Hddhndnxn / Benchmarking-Physics-Informed-vs.-Foundation-Models-for-Cenozoic-Paleobiology

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🌍 Analyze Cenozoic biodiversity trends using Neural ODEs and Chronos-T5 models to uncover insights from incomplete fossil records.

bioinformatics deep-learning computational paleoclimate paleontology macroevolution scientific-machine-learning neural-odes chronos-t5 computational-paleobiology

Updated May 13, 2026
Jupyter Notebook

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