machine-learning-for-physical-sciences

AI assisted Quantum technologies

https://github.com/slohani-ai/machine-learning-for-physical-sciences

Science Score: 26.0%

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
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.3%) to scientific vocabulary

Keywords

deep-learning free-space-optical-communiucation machine-learning quantum-computing quantum-networking quantum-state-tomography
Last synced: 9 months ago · JSON representation

Repository

AI assisted Quantum technologies

Basic Info
  • Host: GitHub
  • Owner: slohani-ai
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage: https://sanjayalohani.com/
  • Size: 154 MB
Statistics
  • Stars: 12
  • Watchers: 2
  • Forks: 5
  • Open Issues: 0
  • Releases: 1
Topics
deep-learning free-space-optical-communiucation machine-learning quantum-computing quantum-networking quantum-state-tomography
Created over 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

Machine Learning for Physical Sciences (mlphys)

Author: Sanjaya Lohani

Email: slohani@mlphys.com

Web-app: mlphys app

Installation

pip install mlphys

API

Owner

  • Name: Sanjaya Lohani
  • Login: slohani-ai
  • Kind: user

Machine Learning, Artificial Intelligence, Quantum Technologies, Free Space Communications

GitHub Events

Total
  • Fork event: 1
Last Year
  • Fork event: 1