fast-kernel-density-estimation-with-density-matrices-and-random-fourier-features
This is the implementation of the paper published in Iberamia 2022
Science Score: 44.0%
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Low similarity (1.4%) to scientific vocabulary
Last synced: 10 months ago
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Repository
This is the implementation of the paper published in Iberamia 2022
Basic Info
- Host: GitHub
- Owner: Joaggi
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 30.9 MB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Created almost 4 years ago
· Last pushed almost 4 years ago
Metadata Files
Readme
License
Citation
README.md
Fast-Kernel-Density-Estimation-with-Density-Matrices-and-Random-Fourier-Features
This is the implementation of the paper published in Iberamia 2022
Owner
- Name: Joagg
- Login: Joaggi
- Kind: user
- Location: Delaware, USA
- Company: Munkys Group Inc
- Website: https://munkys.co
- Repositories: 71
- Profile: https://github.com/Joaggi
CTO of Munkys Apps Main Page: https://munkys.co https://allshaman.com/
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Gallego M." given-names: "Joseph A." orcid: "https://orcid.org/0000-0001-8971-4998" - family-names: "Osorio" given-names: "Juan F." orcid: "https://orcid.org/0000-0001-7983-9199" - family-names: "Gonzalez" given-names: "Fabio A." orcid: "https://orcid.org/0000-0001-9009-7288" title: "Fast Kernel Density Estimation with Density Matrices and Random Fourier Features Software" version: 1.0.1 doi: 10.5281/zenodo.6941020 date-released: 2022-07-29
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