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GitHub / gutmanngroup / idad

Python code for "Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods", NeurIPS, 2021, https://proceedings.neurips.cc/paper/2021/hash/d811406316b669ad3d370d78b51b1d2e-Abstract.html

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gutmanngroup%2Fidad

Fork of desi-ivanova/idad
Stars: 0
Forks: 0
Open Issues: 0

License: mit
Language:
Repo Size: 72.3 KB
Dependencies: 7

Created: over 1 year ago
Updated: 9 months ago
Last pushed: over 2 years ago
Last synced: 9 months ago

Topics: adaptive-design, bayesian-experimental-design, implicit-models, likelihood-free-inference

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    Dependencies
    requirements.txt pypi