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GitHub / draktr / monte-library
Monte 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.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/draktr%2Fmonte-library
Stars: 3
Forks: 0
Open Issues: 0
License: mit
Language: Python
Repo Size: 93.8 KB
Dependencies:
11
Created: over 1 year ago
Updated: 9 months ago
Last pushed: about 1 year ago
Last synced: 3 days ago
Commit Stats
Commits: 124
Authors: 2
Mean commits per author: 62.0
Development Distribution Score: 0.008
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/draktr/monte-library
Topics: artificial-intelligence, bayesian-inference, bioinformatics, chemistry, engineering, finance, gibbs-sampling, hamiltonian-monte-carlo, importance-sampling, integration, markov-chain-monte-carlo, mathematics, mcmc, metropolis-hastings, metropolis-monte-carlo, monte-carlo, physics, quantitative-finance, rejection-sampling, statistical-computing
Files
Dependencies
- matplotlib *
- numpy *
- pandas *
- seaborn *
- matplotlib >=3.5.3
- monte-library >=0.1.0
- numpy >=1.21.6
- pandas >=1.3.5
- scipy >=1.7.3
- seaborn >=0.12.0
- statsmodels >=0.13.2