lbfgs VS mighty-metropolis

Compare lbfgs vs mighty-metropolis and see what are their differences.

lbfgs

Haskell binding for liblbfgs (by wavewave)

mighty-metropolis

The classic Metropolis sampling algorithm. (by jtobin)
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lbfgs mighty-metropolis
0 0
2 10
- -
0.0 0.0
over 6 years ago over 2 years ago
C Haskell
LicenseRef-OtherLicense MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

lbfgs

Posts with mentions or reviews of lbfgs. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning lbfgs yet.
Tracking mentions began in Dec 2020.

mighty-metropolis

Posts with mentions or reviews of mighty-metropolis. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning mighty-metropolis yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing lbfgs and mighty-metropolis you can also consider the following projects:

hasty-hamiltonian - Speedy gradient-based traversal through parameter space.

affine-invariant-ensemble-mcmc

repr - Render overloaded expressions to their textual representation.

microlens-aeson - Lenses and Traversals for Aeson, based on Microlens.

half - half-precision floating-point

haskell-mpfr - MPFR bindings for Haskell

hyperloglog - A constant-memory approximation of set membership

roman-numerals - Parsing and pretty printing of Roman numerals

compensated - Compensated floating-point arithmetic

lens-aeson - Traversals and Prisms for Data.Aeson

nat-sized-numbers - Arbitrarily sized wraparound numeric types. Useful for testing

approximate - Approximate discrete values and numbers