azencot-group/KGO

[NeurIPS 2026] Koopman Generative Operators for Efficient Probabilistic Time-Series Forecasting

GitHub repository with 61 stars and 0 forks.

Language: Python

Topics: dynamical-systems, flow-matching, generative-models, koopman-operator, probabilistic-forecasting, time-series, time-series-forecasting

Open provider repository

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Trending score 0.55, freshness score 0.00, stars gained +0, forks gained +0.

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2026-11-15: 61 stars and 0 forks.

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