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Updated
Oct 26, 2024 - Python
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normalising-flows
Here are 5 public repositories matching this topic...
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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Updated
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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Updated
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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Updated
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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Updated
Nov 20, 2024 - Python
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