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https://github.com/libmir/mir
Mir (backports): Sparse tensors, Hoffman
https://github.com/libmir/mir
blas glas llvm math mir mir-glas numeric
Last synced: 4 months ago
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Mir (backports): Sparse tensors, Hoffman
- Host: GitHub
- URL: https://github.com/libmir/mir
- Owner: libmir
- License: bsl-1.0
- Created: 2015-06-13T16:59:39.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2022-06-05T10:20:02.000Z (over 2 years ago)
- Last Synced: 2024-06-21T18:09:55.784Z (5 months ago)
- Topics: blas, glas, llvm, math, mir, mir-glas, numeric
- Language: D
- Homepage: http://mir.libmir.org
- Size: 1.99 MB
- Stars: 210
- Watchers: 21
- Forks: 20
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
- awesome-d - mir-algorithm - N-dimensional arrays (matrixes, tensors), algorithms, general purpose library. (Scientific / XML)
README
#### ❗️ ndslice was reworked and moved to [Mir-Algorithm](https://github.com/libmir/mir-algorithm).
The last Mir version with old ndslice is `v0.22.1`.
#### ❗️ Mir GLAS was moved to https://github.com/libmir/mir-glas.
[](http://code.dlang.org/packages/mir)
[](http://code.dlang.org/packages/mir)
[](https://www.bountysource.com/teams/libmir)
[](http://code.dlang.org/packages/mir)
[](https://codecov.io/github/libmir/mir?branch=master)
[](https://circleci.com/gh/libmir/mir)
Mir
======
Generic Numerical Library for Science and Machine Learning.
##### Separated Mir Projects
- [Mir Algorithm](https://github.com/libmir/mir-algorithm) - Multidimensional arrays (ndslice), iterators, algorithms.
- [Mir Random](https://github.com/libmir/mir-random) - Professional Random Number Generators
- [Mir GLAS](https://github.com/libmir/mir-glas) - Linear Algebra Library (Experimental, not supported for now)
- [Mir BLAS](https://github.com/libmir/mir-blas) - Bindings to libraries with CBLAS API like OpenBLAS and Intel MKL.
- [Mir LAPACK](https://github.com/libmir/mir-lapack) - Bindings to libraries with LAPACK API like OpenBLAS and Intel MKL.
- [Mir
Optim](https://github.com/libmir/mir-optim) - Nonlinear Solvers.
- [Mir CPUID](https://github.com/libmir/mir-cpuid) - CPU Identification routines (less buggy then Phobos).
Documentation
-------------
Documentation API can be found [here](http://mir.libmir.org).
Contents
--------
- `mir.glas` - Generic Linear Algebra Subroutines
- `mir.sparse` Sparse Tensors
- `Sparse` - DOK format
- Different ranges for COO format
- `CompressedTensor` - CSR/CSC formats
- `mir.sparse.blas` - Sparse BLAS for `CompressedTensor`
- `mir.model.lda.hoffman` - Online variational Bayes for latent Dirichlet allocation (Online VB LDA) for sparse documents. LDA is used for topic modeling.
- `mir.combinatorics` Combinations, combinations with repeats, cartesian power, permutations.
Compatibility
-------------
| | Linux | Mac OS X | Windows |
|-----------|-------|----------|---------|
| 64-bit | [](https://travis-ci.org/libmir/mir) | [](https://travis-ci.org/libmir/mir) | [](https://ci.appveyor.com/project/9il/mir/branch/master) |
| 32-bit | [](https://travis-ci.org/libmir/mir) | N/A | N/A |
Example
--------
```d
/+dub.sdl:
dependency "mir" version="~>3.1.0"
+/
import std.stdio;
import mir.combinatorics;
void main(string[] args)
{
writeln([1, 2].combinations);
}
```
Fast setup with the dub package manager
------------
[](http://code.dlang.org/packages/mir)
[Dub](https://code.dlang.org/getting_started) is the D's package manager.
You can create a new project with:
```
dub init
```
Now you need to edit the `dub.json` add `mir` as dependency.
```json
{
...
"dependencies": {
"mir": "~>"
},
"dflags-ldc": ["-mcpu=native"]
}
```
Now you can create an `app.d` file in the `source` folder and run your code with
```
dub --compiler=ldmd2
```
Flag `--build=release` and can be added for a performance boost:
```
dub --compiler=ldmd2 --build=release
```
`ldmd2` is a shell on top of [LDC (LLVM D Compiler)](https://github.com/ldc-developers/ldc).
`"dflags-ldc": ["-mcpu=native"]` allows LDC to optimize Mir for your CPU.
Contributing
------------
See our [TODO List](https://github.com/libmir/mir/issues?q=is%3Aissue+is%3Aopen+label%3A%22New+Package%22).
Mir is very young and we are open for contributing to source code, documentation, examples and benchmarks.