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inbayesflow-org/bayesflow (press backspace or delete to remove)Background
In version 1, the library provided a convenience method trainer.mmd_hypothesis_test, making it easy to perform an MMD
hypothesis test. However, this method was removed in version 2, requiring ...
thegialeo
- 1
- Opened 3 days ago
- #379
The about us page seems outdated and should be updated with all the latest developers:
https://bayesflow.org/main/about.html
documentation
paul-buerkner
- 2
- Opened 3 days ago
- #377
Currently, only few modules have module docstrings. It would be great to have a concise description of what each module
does. This description will for example show up in this table in the API reference. ...
documentation
vpratz
- Opened 3 days ago
- #376
We need to update the website to reflect the merge with main and the 2.0 changes.
LarsKue
- 1
- Opened 4 days ago
- #372
We would like to use Bayesian Neural Networks (BNNs) as inference networks in BayesFlow, particularly for scenarios with
very few training data points. In those settings standard neural networks tend to ...
feature
philippreiser
- 1
- Opened 5 days ago
- #371
Varying simulator output sizes are a common occurrence when the number of samples varies between calls to
simulator.sample():
def context(batch_size):
n = np.random.randint(10, 101)
return dict(n=n) ...
efficiency
user interface
- 1
- Opened 5 days ago
- #370
Description
The function diagnostics.pairs_posterior() does not correctly distinguish the prior distribution color from the
posterior color in the diagonal subplots. The expected behavior is that the ...
- 2
- Opened 6 days ago
- #368
FYI, the minimal working example in the readme doesn t work:
import bayesflow as bf
workflow = bf.BasicWorkflow(
inference_network=bf.networks.FlowMatching(),
summary_network=bf.networks.TimeSeriesTransformer(), ...
cannot reproduce
question
pedroliman
- 3
- Opened 9 days ago
- #367
I see a lot of RAM being used when drawing samples via FlowMatching. Interestingly, the RAM does not drop after sampling
is finished. I suspect unnecessary computational trees for autograd to be behind ...
- 6
- Opened 9 days ago
- #365
Hi!
When using bayesflow.OfflineDataset with a simulator that includes a meta_fn, an error occurs because the dataset
initialization assumes all values in the dictionary have a .shape attribute.
Code: ...
- Opened 10 days ago
- #363
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