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Updated
Dec 19, 2024 - Python
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normalising-flows
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Synthetic financial time series generation with regime clustering
time-series gan data-generation synthetic-data change-point-detection financial-timeseries-data normalising-flows synthetic-timeseries time-series-generation regime-clustering synthetic-time-series
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Jan 7, 2024 - Jupyter Notebook
Normalising flows for Inverse Problems is a framework providing all means for data-driven solutions to inverse (imaging) problems.
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Jun 5, 2022 - Python
📈Synthetic financial time series generation with regime clustering📈
time-series gan synthetic-data change-point-detection financial-timeseries-data normalising-flows synthetic-timeseries regime-clustering synthetic-time-series
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Jan 7, 2024 - Jupyter Notebook
A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.
deep-learning crop-model bayesian-inference bayesian-statistics 3d-models dash-app simulation-modeling 3d-modelling normalizing-flows sequential-monte-carlo approximate-bayesian-computation crop-modeling dash-plotly generative-neural-network optuna likelihood-free-inference root-system simulation-based-inference normalising-flows root-system-architecture
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Nov 20, 2024 - Python
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