sbi-dev/sbi

sampling via pymc raises TypeError since pymc v5.20.1 41 minutes ago

AI Summary: This GitHub issue reports a `TypeError` occurring when using `pymc` for sampling since `pymc` version `5.20.1`. The proposed solution is to monitor for a new `pymc` release that addresses the problem and then remove the `fail` marks from specific tests in the `sbi` codebase once the issue is resolved upstream.

Complexity: 1/5

bug good first issue hackathon

sbi-dev/sbi

749

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

Python

#bayesian-inference#likelihood-free-inference#machine-learning#parameter-estimation#pytorch#simulation-based-inference

GPU compatible (L-)C2ST about 3 hours ago

enhancement good first issue

sbi-dev/sbi

749

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

Python

#bayesian-inference#likelihood-free-inference#machine-learning#parameter-estimation#pytorch#simulation-based-inference

docs: add tutorial / how-to-guide for embedding time-series data, e.g., using causalCNNs about 4 hours ago

docs good first issue embedding-nets

sbi-dev/sbi

749

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

Python

#bayesian-inference#likelihood-free-inference#machine-learning#parameter-estimation#pytorch#simulation-based-inference

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