h2o64/samplingdb
samplingdb reference sets Reference samples for the targets of samplingdb, a PyTorch library of unnormalised densities for benchmarking samplers. A sampler's output is scored against these sets. Each one comes from a long MCMC run on the target's own density, and was checked for convergence and independence before it was published here. You do not need to download anything by hand. samplingdb fetches a set the first time it is used, checks its sha256, and keeps it in its cache.… See the full description on the dataset page: https://huggingface.co/datasets/h2o64/samplingdb.
| Author / organization | h2o64 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 16 October 2026 |
| Last updated at source | 16 October 2026 |
Recent changes
- 16 Oct 2026 Description: none → samplingdb reference sets Reference samples for the targets of samplingdb, a PyTorch library of unnormalised densities for benchmarking samplers. A sampler's output is scored against these sets. Each one comes from a long MCMC run on the ta
- 16 Oct 2026 Topics added sampling, mcmc, benchmark, bayesian-inference, molecular-dynamics, statistical-physics
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