{"id":17153214,"url":"https://github.com/axect/peroxide_gallery","last_synced_at":"2025-04-13T12:43:52.294Z","repository":{"id":44697452,"uuid":"229374675","full_name":"Axect/Peroxide_Gallery","owner":"Axect","description":"Examples of Peroxide (Rust numeric library)","archived":false,"fork":false,"pushed_at":"2025-03-07T03:23:08.000Z","size":17727,"stargazers_count":11,"open_issues_count":1,"forks_count":2,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-04-06T06:30:22.808Z","etag":null,"topics":["machine-learning","numerical-computation","peroxide","plot","rust"],"latest_commit_sha":null,"homepage":"https://github.com/Axect/Peroxide","language":"Rust","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Axect.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2019-12-21T04:12:40.000Z","updated_at":"2025-03-07T03:23:12.000Z","dependencies_parsed_at":"2024-03-20T02:47:58.686Z","dependency_job_id":null,"html_url":"https://github.com/Axect/Peroxide_Gallery","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axect%2FPeroxide_Gallery","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axect%2FPeroxide_Gallery/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axect%2FPeroxide_Gallery/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axect%2FPeroxide_Gallery/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Axect","download_url":"https://codeload.github.com/Axect/Peroxide_Gallery/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248717240,"owners_count":21150387,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["machine-learning","numerical-computation","peroxide","plot","rust"],"created_at":"2024-10-14T21:45:35.556Z","updated_at":"2025-04-13T12:43:52.289Z","avatar_url":"https://github.com/Axect.png","language":"Rust","readme":"# Peroxide Gallery\n\n* **Linear Algebra**\n    * [Gaussian Elimination](./Linear_Algebra/triangular)\n    * [WAZ factorization](./Linear_Algebra/waz)\n    * [QR Decomposition](./Linear_Algebra/qr)\n    * [Solve](./Linear_Algebra/solve)\n* **Machine Learning**\n    * [Multi Layer Perceptron](./Machine_Learning/mlp)\n    * [Linear regression](./Machine_Learning/linear_reg)\n    * [Linear ridge regression](./Machine_Learning/linear_reg_ridge)\n    * [SVM](./Machine_Learning/svm)\n* **Numeric**\n    * [RK4 with netcdf](./Numeric/rk4_with_nc)\n    * [RK4 with plot](./Numeric/rk4_with_plot): Ver 0.37.1\n    * [Lebenverg Marquardt](./Numeric/lm)\n    * [Reduced Row Echelon Form](./Numeric/rref)\n    * [Newton Cotes quadrature](./Numeric/newton_cotes)\n    * [ODE with Environment](./Numeric/ode_with_env): Ver 0.37.1\n    * [Root Finding](./Numeric/root_finding): Ver 0.37.1\n    * [Root Finding via `ad_function`](./Numeric/root_finding_macro): Ver 0.37.1\n    * [Root Finding via `radient`](./Numeric/root_finding_radient): Ver 0.37.1\n    * [Linear regression with error](./Numeric/lm_with_weight)\n    * [Lorenz Butterfly](./Numeric/lorenz): Ver 0.37.1\n    * [Cubic Hermite Spline](./Numeric/cubic_hermite): Ver 0.37.1\n    * [Truncated Cubic Hermite Spline](./Numeric/truncated_cubic): Ver 0.37.1\n    * [Velocity Verlet Algorithm](./Numeric/verlet)\n    * [Newmark Beta method](./Numeric/newmark_beta): Ver 0.37.1\n    * [ODE with stop condition](./Numeric/ode_with_stop)\n    * [Numerical Integration with Importance Sampling](./Numeric/importance_sampling): Ver 0.37.1\n    * [Discrete Cosine Transform](./Numeric/dct): Ver 0.37.1\n    * [Cubic B-Spline Basis functions](./Numeric/cubic_b_spline): Ver 0.37.2\n* **Statistics**\n    * [Brownian Motion (Random walk)](./Statistics/brown)\n    * [Sampling from Transition probability](./Statistics/transition_prob)\n    * [Solution of Diffusion Equation](./Statistics/diffusion)\n    * [Geometric Brownian Motion](./Statistics/gbm)\n* **Physics** (Ver: `0.30.0`)\n    * [Estimate Ground state of Yukawa potential](./Physics/yukawa_ground_state)\n    * [Falling with Air resistance](./Physics/fall_drag)\n    * [Approximate Pi with Elastic collision](./Physics/elastic_pi)\n* **Plot**\n    * [matplotlib with netcdf](./Plot/matplotlib_with_netcdf)\n    * [peroxide's plot feature](./Plot/plot_feature)\n    * [matplotlib with parquet](./Plot/matplotlib_with_parquet)\n* **IO**\n    * [DataFrame tutorial](./IO/dataframe)\n    * [peroxide with polars](./IO/with_polars)\n    * [Save Matrix](./IO/save_matrix)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxect%2Fperoxide_gallery","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faxect%2Fperoxide_gallery","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxect%2Fperoxide_gallery/lists"}