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Open Source Science

https://github.com/airscker/deepmuon

DeepMuon is an easy-using platform for interdisciplinary deep-learning research.

https://github.com/airscker/deepmuon

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
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.0%) to scientific vocabulary

Keywords

cryo-em data-visualization deep-learning interdiscip materials-science medicine physics
Last synced: 9 months ago · JSON representation

Repository

DeepMuon is an easy-using platform for interdisciplinary deep-learning research.

Basic Info
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 3
Topics
cryo-em data-visualization deep-learning interdiscip materials-science medicine physics
Created over 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

Introduction

DeepMuon is a easy-using deep learning platform initially built for dark matter searching experiments. Up to now it has been a interdisciplinary deep learning platform. We are eager to provide advanced model training framework and excellent project management assistance.

Here we list out some available features of DeepMuon:

  • Single GPU training, Distributed Data Parallel training and Fully Sharded Distributed Parallel training.
  • Neural Network Hyperparameter Searching (NNHS)
  • Gradient accumulation
  • Gradient clipping
  • Mixed precision training
  • Double precision training
  • Customize models
  • Customize datasets
  • Customize loss functions
  • Tidy logging system
  • Model interpretation
  • Simple and direct tutorials

More details please refer to the home page of DeepMuon.

Installation (From source recommended)

bash git clone https://github.com/Airscker/DeepMuon.git cd DeepMuon pip install -v -e ./ --user

CopyRight

GNU GENERAL PUBLIC LICENSE Version 3

Project: DeepMuon Description: Interdisciplinary Deep Learning Platform Author: Airscker(Yufeng Wang) Contributors: Yufeng Wang, Yu Zhang, Shendong Su Institutions:

University of Science of Technology of China TsingHua University Stony Brook University University of Florida

If you want to publish thesis using DeepMuon, please add bibliography:

latex @misc{deepmuon, author = {Yufeng Wang, Yu Zhang, Shendong Su}, title = {DeepMuon: Interdisciplinary deep-learning platform}, year = {2022}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://airscker.github.io/DeepMuon}}, } Copyright (C) 2024 by Airscker(Yufeng), All Rights Reserved.

Owner

  • Name: Airscker(Yufeng Wang)
  • Login: Airscker
  • Kind: user

We go on until we go wrong, then we keep on until we are right

GitHub Events

Total
  • Push event: 1
Last Year
  • Push event: 1

Committers

Last synced: about 3 years ago

All Time
  • Total Commits: 113
  • Total Committers: 3
  • Avg Commits per committer: 37.667
  • Development Distribution Score (DDS): 0.283
Top Committers
Name Email Commits
airscker a****r@g****m 81
airscker 3****7@q****m 28
Airscker 7****r@u****m 4
Committer Domains (Top 20 + Academic)
qq.com: 1

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 8
  • Total pull requests: 1
  • Average time to close issues: 3 months
  • Average time to close pull requests: less than a minute
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • Airscker (8)
Pull Request Authors
  • Airscker (1)
Top Labels
Issue Labels
enhancement (8) good first issue (4) solved (4) documentation (2) bug (1) attention needed (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 24 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 12
  • Total maintainers: 1
pypi.org: deepmuon

Interdisciplinary Deep Learning Platform

  • Versions: 12
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 24 Last month
Rankings
Dependent packages count: 6.6%
Downloads: 15.2%
Average: 24.4%
Forks count: 30.5%
Dependent repos count: 30.6%
Stargazers count: 39.1%
Maintainers (1)
M_Anyon
Last synced: 9 months ago

Dependencies

setup.py pypi
  • GPUtil *
  • SimpleITK *
  • captum *
  • click *
  • matplotlib *
  • monai *
  • numba *
  • numpy *
  • pandas *
  • psutil *
  • ptflops *
  • pynvml *
  • scikit-image *
  • sklearn *
  • timm *
  • torchinfo *
  • tqdm *