deeplearning-hs
mcmc-types
deeplearning-hs | mcmc-types | |
---|---|---|
- | - | |
53 | 3 | |
- | - | |
0.0 | 0.0 | |
over 8 years ago | almost 4 years ago | |
Haskell | Haskell | |
MIT License | MIT License |
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.
deeplearning-hs
We haven't tracked posts mentioning deeplearning-hs yet.
Tracking mentions began in Dec 2020.
mcmc-types
We haven't tracked posts mentioning mcmc-types yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
numhask - A haskell numeric prelude, providing a clean structure for numbers and operations that combine them.
gsl-random - Haskell bindings to the GSL random number generators and distribution functions
manifold-random - Coordinate-free hypersurfaces as Haskell types
nonlinear-optimization - Various iterative algorithms for optimization of nonlinear functions.
cplex-hs - Haskell bindings for CPLEX
mwc-random - A very fast Haskell library for generating high quality pseudo-random numbers.
linearEqSolver - Solve systems of linear equations, using SMT solvers.
bayes-stack - Framework for Gibbs sampling of probabilistic models
reservoir - Reservoir Sampling Algorithms in Haskell
rounded - MPFR bindings for Haskell
math-programming-glpk - A GLPK backend to the Haskell math-programming library
Decimal