matfree | free numerical linear algebra including trace

 by   pnkraemer Python Version: 0.0.18 License: MIT

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.
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            kandi-support 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

            kandi-Quality Quality

              matfree has no bugs reported.

            kandi-Security Security

              matfree has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License 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.

            kandi-Reuse Reuse

              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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            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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            Install
          • PyPI

            pip install matfree

          • CLONE
          • HTTPS

            https://github.com/pnkraemer/matfree.git

          • CLI

            gh repo clone pnkraemer/matfree

          • sshUrl

            git@github.com:pnkraemer/matfree.git

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