splitml
SplitML (Signal Processing Library for Interference rejecTion by Machine Learning) is a code repository for a set of tools for interference rejection in complex time-domain signals.
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.4%) to scientific vocabulary
Repository
SplitML (Signal Processing Library for Interference rejecTion by Machine Learning) is a code repository for a set of tools for interference rejection in complex time-domain signals.
Basic Info
- Host: GitHub
- Owner: lanl
- License: other
- Language: Python
- Default Branch: main
- Size: 1.87 MB
Statistics
- Stars: 6
- Watchers: 1
- Forks: 2
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
SplitML
Signal Processing Library for Interference rejecTion via Machine Learning.
Installation/setup
Set up Anaconda environment:
conda env create -f environment.yml
Activate environment:
conda activate splitml
Install Pytorch 1.12 (see Pytorch website for OS, CPU/GPU options):
conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch-nightly
Install splitml package locally:
pip install -e .
Organization
The code is organized as:
- The
splitml/directory contains the package source code. - The
results/directory contains derivative products of using the source code. - The
examples/directory contains example scripts and notebooks for using the package.
Copyright notice
- Triad National Security, LLC. All rights reserved. This program was produced under U.S. Government contract 89233218CNA000001 for Los Alamos National Laboratory (LANL), which is operated by Triad National Security, LLC for the U.S. Department of Energy/National Nuclear Security Administration. All rights in the program are reserved by Triad National Security, LLC, and the U.S. Department of Energy/National Nuclear Security Administration. The Government is granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable worldwide license in this material to reproduce, prepare derivative works, distribute copies to the public, perform publicly and display publicly, and to permit others to do so.
Owner
- Name: Los Alamos National Laboratory
- Login: lanl
- Kind: organization
- Email: github-register@lanl.gov
- Location: Los Alamos, New Mexico, USA
- Website: https://www.lanl.gov/
- Repositories: 224
- Profile: https://github.com/lanl
GitHub Events
Total
- Watch event: 1
- Push event: 1
Last Year
- Watch event: 1
- Push event: 1
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Natalie Klein | 6****9 | 31 |
| Natalie Klein | n****n@g****m | 22 |
| Amber Day | 8****y | 3 |
Issues and Pull Requests
Last synced: over 1 year ago
All Time
- Total issues: 0
- Total pull requests: 12
- Average time to close issues: N/A
- Average time to close pull requests: 4 minutes
- Total issue authors: 0
- Total pull request authors: 3
- Average comments per issue: 0
- Average comments per pull request: 0.17
- Merged pull requests: 11
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: 2 minutes
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- natalieklein229 (9)
- AmberJouleDay (2)
- natalieklein (1)