matfree | free numerical linear algebra including trace
kandi X-RAY | matfree Summary
kandi X-RAY | matfree Summary
matfree is a Python library. matfree has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install matfree' or download it from GitHub, PyPI.
Randomised and deterministic matrix-free methods for trace estimation, matrix functions, and/or matrix factorisations. Builds on JAX.
Randomised and deterministic matrix-free methods for trace estimation, matrix functions, and/or matrix factorisations. Builds on JAX.
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Quality
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Support
matfree has a low active ecosystem.
It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.
There were 4 major release(s) in the last 12 months.
There are 14 open issues and 32 have been closed. On average issues are closed in 1 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of matfree is 0.0.18
Quality
matfree has no bugs reported.
Security
matfree has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
matfree is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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matfree releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of matfree
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of matfree
matfree Key Features
No Key Features are available at this moment for matfree.
matfree Examples and Code Snippets
No Code Snippets are available at this moment for matfree.
Community Discussions
No Community Discussions are available at this moment for matfree.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install matfree
To install the package, run. Important: This assumes you already have a working installation of JAX. To install JAX, follow these instructions. To combine matfree with a CPU version of JAX, run. which is equivalent to combining pip install jax[cpu] with pip install matfree.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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