https://github.com/alanpearl/multigrad

Framework to implement JAX models that can be distributed over MPI

https://github.com/alanpearl/multigrad

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Framework to implement JAX models that can be distributed over MPI

Basic Info
  • Host: GitHub
  • Owner: AlanPearl
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 272 KB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 2
Created over 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

multigrad

Framework to implement JAX models that can be distributed over MPI

Author

  • Alan Pearl

Documentation

Online documentation is available at multigrad.readthedocs.io.

Owner

  • Name: Alan Pearl
  • Login: AlanPearl
  • Kind: user
  • Company: University of Pittsburgh

GitHub Events

Total
Last Year

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 17 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
pypi.org: multigrad

Differentiable Multiprocessing for Gradient Descent with JAX

  • Documentation: https://multigrad.readthedocs.io/
  • License: MIT License Copyright (c) 2023 Alan Pearl Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  • Latest release: 1.0.0
    published almost 2 years ago
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 17 Last month
Rankings
Dependent packages count: 10.4%
Average: 35.1%
Downloads: 36.7%
Dependent repos count: 58.3%
Maintainers (1)
Last synced: 10 months ago

Dependencies

pyproject.toml pypi
requirements.txt pypi
  • jax *
  • numpy *
setup.py pypi