declarative
hmatrix
| declarative | hmatrix | |
|---|---|---|
| - | 2 | |
| 23 | 378 | |
| - | 0.0% | |
| 0.0 | 3.4 | |
| about 3 years ago | 2 months ago | |
| Haskell | Haskell | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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declarative
We haven't tracked posts mentioning declarative yet.
Tracking mentions began in Dec 2020.
hmatrix
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Rust concepts I wish I learned earlier
Two things that might help Rust a lot despite the complexity is the tooling and the ecosystem. Cargo is good, the compiler is extremely helpful, and there are a lot of crates to build on for all sorts of tasks.
For example, if I need to use simulated annealing to solve an optimization problem, there already exist libraries that implement that algorithm well.[1] Unfortunately, the Haskell library for this seems to be unmaintained[2] and so does the OCaml library that I can find.[3] Similarly, Agda, Idris, and Lean 4 all seem like great languages. But not having libraries for one's tasks is a big obstacle to adoption.
Nim looks very promising. (Surprisingly so to me.) Hopefully they will succeed at gaining wider recognition and growing a healthy ecosystem.
[1] E.g., https://github.com/argmin-rs/argmin
[2] https://hackage.haskell.org/package/hmatrix-gsl-0.19.0.1 was released in 2018. (Although there are newer commits in the GitHub repo, https://github.com/haskell-numerics/hmatrix. Not too sure what is going on.)
[3] https://github.com/khigia/ocaml-anneal
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Numpy style linear algebra
hmatrix covers the essentials; less feature-complete than python/matlab, partly because several orders of magnitudes less people use it, partly because it's meant as the "essential core".
What are some alternatives?
matrix - A Haskell native implementation of matrices and their operations.
hTensor - Multidimensional arrays and simple tensor computations
nimber - Finite nimber arithmetic
hmatrix-repa - Compatability between hmatrix and repa matrices and vectors
math-functions - Special mathematical functions
hmatrix-quadprogpp - bindings to quadprog++
hmatrix-nipals - Haskell library for Nonlinear Iterative Partial Least Squares method for Principal Components Analysis on large datasets
hmatrix-backprop - backprop primitives for hmatrix
hmatrix-vector-sized - Conversion between hmatrix and vector-sized types
hmatrix-svdlibc - Haskell bindings for svdlibc
hmatrix-morpheus - Low-level machine learning auxiliary functions
hmatrix-mmap - Extend the Haskell hmatrix package with the ability to mmap vectors