https://github.com/axect/peroxide_gallery

Examples of Peroxide (Rust numeric library)

https://github.com/axect/peroxide_gallery

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 (4.3%) to scientific vocabulary

Keywords

machine-learning numerical-computation peroxide plot rust
Last synced: 5 months ago · JSON representation

Repository

Examples of Peroxide (Rust numeric library)

Basic Info
Statistics
  • Stars: 10
  • Watchers: 4
  • Forks: 2
  • Open Issues: 1
  • Releases: 0
Topics
machine-learning numerical-computation peroxide plot rust
Created about 6 years ago · Last pushed 12 months ago
Metadata Files
Readme

Owner

  • Name: Tae-Geun Kim
  • Login: Axect
  • Kind: user
  • Location: Seoul, South Korea
  • Company: Yonsei Univ.

Ph.D student of particle physics & Rustacean

GitHub Events

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

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 0
  • Total pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: about 19 hours
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 2.5
  • Merged pull requests: 0
  • 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: about 19 hours
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 2.5
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • prismv (1)
Pull Request Authors
  • prismv (4)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

IO/dataframe/Cargo.toml cargo
IO/save_matrix/Cargo.toml cargo
IO/with_polars/Cargo.toml cargo
Linear_Algebra/mul/Cargo.toml cargo
Linear_Algebra/qr/Cargo.toml cargo
Linear_Algebra/solve/Cargo.toml cargo
Linear_Algebra/svd/Cargo.toml cargo
Linear_Algebra/triangular/Cargo.toml cargo
Linear_Algebra/waz/Cargo.toml cargo
Machine_Learning/lda/Cargo.toml cargo
Machine_Learning/linear_reg/Cargo.toml cargo
Machine_Learning/linear_reg_ridge/Cargo.toml cargo
Machine_Learning/mlp/Cargo.toml cargo
Machine_Learning/svm/Cargo.toml cargo
Numeric/cubic_hermite/Cargo.toml cargo
Numeric/dct/Cargo.toml cargo
Numeric/fem_interp/Cargo.toml cargo
Numeric/importance_sampling/Cargo.toml cargo
Numeric/lm/Cargo.toml cargo
Numeric/lm_with_weight/Cargo.toml cargo
Numeric/lorenz/Cargo.toml cargo
Numeric/newmark_beta/Cargo.toml cargo
Numeric/newton_cotes/Cargo.toml cargo
Numeric/ode_with_env/Cargo.toml cargo
Numeric/ode_with_stop/Cargo.toml cargo
Numeric/rk4_with_nc/Cargo.toml cargo
Numeric/rk4_with_plot/Cargo.toml cargo
Numeric/root_finding/Cargo.toml cargo
Numeric/root_finding_macro/Cargo.toml cargo
Numeric/rref/Cargo.toml cargo
Numeric/truncated_cubic/Cargo.toml cargo
Numeric/verlet/Cargo.toml cargo
Physics/elastic_pi/Cargo.toml cargo
Physics/fall_drag/Cargo.toml cargo
Physics/yukawa_ground_state/Cargo.toml cargo
Plot/matplotlib_with_netcdf/Cargo.toml cargo
Plot/matplotlib_with_parquet/Cargo.toml cargo
Plot/plot_feature/Cargo.toml cargo
Statistics/brown/Cargo.toml cargo
Statistics/diffusion/Cargo.toml cargo
Statistics/transition_prob/Cargo.toml cargo
Numeric/cubic_b_spline/Cargo.toml cargo
Numeric/root_finding_radient/Cargo.toml cargo
Statistics/gbm/Cargo.toml cargo
Statistics/gbm/requirements.txt pypi
  • contourpy ==1.3.1
  • cycler ==0.12.1
  • fonttools ==4.56.0
  • kiwisolver ==1.4.8
  • matplotlib ==3.10.1
  • numpy ==2.2.3
  • packaging ==24.2
  • pandas ==2.2.3
  • pillow ==11.1.0
  • pyarrow ==19.0.1
  • pyparsing ==3.2.1
  • python-dateutil ==2.9.0.post0
  • pytz ==2025.1
  • scienceplots ==2.1.1
  • six ==1.17.0
  • tzdata ==2025.1