{"id":20841034,"url":"https://github.com/benchopt/benchmark_csc","last_synced_at":"2025-05-08T22:03:26.701Z","repository":{"id":45492047,"uuid":"344747572","full_name":"benchopt/benchmark_csc","owner":"benchopt","description":"Benchmark for Convolutional Sparse Coding","archived":false,"fork":false,"pushed_at":"2023-09-19T00:13:43.000Z","size":28,"stargazers_count":6,"open_issues_count":1,"forks_count":5,"subscribers_count":4,"default_branch":"main","last_synced_at":"2023-09-19T04:56:34.660Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/benchopt.png","metadata":{"files":{"readme":"README.rst","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}},"created_at":"2021-03-05T08:42:23.000Z","updated_at":"2023-09-19T04:56:34.661Z","dependencies_parsed_at":"2023-01-27T20:45:22.780Z","dependency_job_id":null,"html_url":"https://github.com/benchopt/benchmark_csc","commit_stats":null,"previous_names":[],"tags_count":0,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benchopt%2Fbenchmark_csc","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benchopt%2Fbenchmark_csc/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benchopt%2Fbenchmark_csc/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benchopt%2Fbenchmark_csc/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/benchopt","download_url":"https://codeload.github.com/benchopt/benchmark_csc/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225110451,"owners_count":17422431,"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":[],"created_at":"2024-11-18T01:18:36.623Z","updated_at":"2024-11-18T01:18:37.335Z","avatar_url":"https://github.com/benchopt.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"BenchOpt benchmark for Convolutional Sparse Coding\n=====================\n|Build Status| |Python 3.6+|\n\nBenchOpt is a package to simplify and make more transparent and\nreproducible the comparisons of optimization algorithms.\nThis benchmark is dedicated to solver of convolutional sparse coding:\n\n$$\\\\min_{\\\\theta_1, \\\\ldots, \\\\theta_K \\\\in \\\\mathbb{R}^d} \\\\frac{1}{2} \\\\|y - \\\\sum_{k=1}^K d_k * \\\\theta_k\\\\|^2_2 + \\\\lambda \\\\sum_{k=1}^K \\\\|\\\\theta_k\\\\|_1$$\n\nwhere $K$ is the number of atoms in the dictionary, $d_1, \\\\ldots, d_K \\\\in \\\\mathbb{R}^d$ are the atoms in the dictionary and $*$ denotes the convolution.\n\nInstall\n--------\n\nThis benchmark can be run using the following commands:\n\n.. code-block::\n\n   pip install -U benchopt\n   git clone https://github.com/benchopt/benchmark_csc\n   benchopt run ./benchmark_csc\n\nApart from the problem, options can be passed to `benchopt run`, to restrict the benchmarks to some solvers or datasets, e.g.:\n\n.. code-block::\n\n\tbenchopt run benchmark_csc -s alphacsc -d simulated --max-runs 10 --n-repetitions 10\n\n\nUse `benchopt run -h` for more details about these options, or visit https://benchopt.github.io/api.html.\n\n\n.. |Build Status| image:: https://github.com/benchopt/benchmark_csc/workflows/Tests/badge.svg\n   :target: https://github.com/benchopt/benchmark_csc/actions\n.. |Python 3.6+| image:: https://img.shields.io/badge/python-3.6%2B-blue\n   :target: https://www.python.org/downloads/release/python-360/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbenchopt%2Fbenchmark_csc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbenchopt%2Fbenchmark_csc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbenchopt%2Fbenchmark_csc/lists"}