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GrainLearning
Unsure about the parameters of your grains in a computer simulation? Use Iterative Bayesian Filtering to learn parameter distributions from limited data. Is your model running slowly? Speed up your simulations with machine-learning surrogates. All these features are integrated within GrainLearning.
- Bayesian Inference
- Data assimilation
- Machine learning
- + 2
- Jupyter Notebook
- Python
- PureBasic
- + 1
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swyft
swyft is the official implementation of Truncated Marginal Neural Ratio Estimation, a hyper-efficient, simulation-based inference technique for complex data and expensive simulators.
- Bayesian Inference
- Data Analysis
- Jupyter Notebook
- Python
5
25
pypfilt
A Sequential Monte Carlo (SMC, or "particle filter") Python package for online model estimation and probabilistic forecasting.
- Bayesian Inference
- Forecasting
- Sequential Monte Carlo
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