math-programming-glpk
deeplearning-hs
Our great sponsors
| math-programming-glpk | deeplearning-hs | |
|---|---|---|
| - | - | |
| 0 | 53 | |
| - | - | |
| 1.7 | 0.0 | |
| over 1 year ago | over 8 years ago | |
| Haskell | Haskell | |
| BSD 3-clause "New" or "Revised" 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.
math-programming-glpk
We haven't tracked posts mentioning math-programming-glpk yet.
Tracking mentions began in Dec 2020.
deeplearning-hs
We haven't tracked posts mentioning deeplearning-hs yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
hgeometry - HGeometry is a library for computing with geometric objects in Haskell. It defines basic geometric types and primitives, and it implements some geometric data structures and algorithms. The main two focusses are: (1) Strong type safety, and (2) implementations of geometric algorithms and data structures that have good asymptotic running time guarantees.
numhask - A haskell numeric prelude, providing a clean structure for numbers and operations that combine them.
dimensions - Many-dimensional type-safe numeric ops
manifold-random - Coordinate-free hypersurfaces as Haskell types
bed-and-breakfast - Matrix operations in 100% pure Haskell
cplex-hs - Haskell bindings for CPLEX
cf - "Exact" real arithmetic for Haskell using continued fractions (Not formally proven correct)
linearEqSolver - Solve systems of linear equations, using SMT solvers.
lambda-calculator - An introduction to the Lambda Calculus
nimber - Finite nimber arithmetic
vector - An efficient implementation of Int-indexed arrays (both mutable and immutable), with a powerful loop optimisation framework .
mcmc-types - Common types for sampling.