pypi.org : monte-library
monte-library is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.
Registry
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Source
- Documentation
- JSON
purl: pkg:pypi/monte-library
Keywords:
montecarlo monte carlo
, optimization
, integration
, sampling
, mcmc
, hmc
, simulation
, modelling
, artificial-intelligence
, bayesian-inference
, bioinformatics
, chemistry
, engineering
, finance
, gibbs-sampling
, hamiltonian-monte-carlo
, importance-sampling
, markov-chain-monte-carlo
, mathematics
, metropolis-hastings
, metropolis-monte-carlo
, monte-carlo
, physics
, quantitative-finance
, rejection-sampling
, statistical-computing
License: MIT
Latest release: 12 months ago
First release: over 2 years ago
Downloads: 7 last month
Stars: 4 on GitHub
Forks: 0 on GitHub
Total Commits: 124
Committers: 2
Average commits per author: 62.0
Development Distribution Score (DDS): 0.008
More commit stats: commits.ecosyste.ms
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Last synced: 6 days ago