{"id":17662526,"url":"https://github.com/tommoral/dicod","last_synced_at":"2025-05-07T19:42:04.006Z","repository":{"id":69250859,"uuid":"106170506","full_name":"tomMoral/Dicod","owner":"tomMoral","description":"Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. Oudre, N. Vayatis.","archived":false,"fork":false,"pushed_at":"2019-01-24T18:48:24.000Z","size":497,"stargazers_count":12,"open_issues_count":1,"forks_count":1,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-03-31T13:27:45.818Z","etag":null,"topics":["convolutional-sparse-coding","coordinate-descent","distributed-computing","openmpi"],"latest_commit_sha":null,"homepage":"","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/tomMoral.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,"publiccode":null,"codemeta":null}},"created_at":"2017-10-08T11:18:30.000Z","updated_at":"2021-05-11T15:53:08.000Z","dependencies_parsed_at":null,"dependency_job_id":"11188819-a506-4157-bdb2-03c4d01ff019","html_url":"https://github.com/tomMoral/Dicod","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tomMoral%2FDicod","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tomMoral%2FDicod/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tomMoral%2FDicod/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tomMoral%2FDicod/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tomMoral","download_url":"https://codeload.github.com/tomMoral/Dicod/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252945756,"owners_count":21829650,"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":["convolutional-sparse-coding","coordinate-descent","distributed-computing","openmpi"],"created_at":"2024-10-23T18:22:48.447Z","updated_at":"2025-05-07T19:42:03.984Z","avatar_url":"https://github.com/tomMoral.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"This package is still under development. If you have any trouble running this code, please contact \u003cthomas.moreau.2010@gmail.com\u003e\n\n\n## DICOD  [![Build Status](https://travis-ci.org/tomMoral/Dicod.svg?branch=master)](https://travis-ci.org/tomMoral/Dicod)\n\nPackage to run the experiments for the ICML paper [DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding](http://proceedings.mlr.press/v80/moreau18a.html), ICML 2018, T. Moreau, L. Oudre, N. Vayatis.\n\n#### Requirements\n\nAll the tests were done with python3.4.\nThis package depends on the python library `numpy`, `matplotlib`, `scipy`, `mpi4py`, `joblib`\nand the libraries `openMPI` and `fftw3`.\nThey can be installed with\n\n```bash\nsudo apt install libopenmpi-dev fftw-dev\npip install numpy matplotlib scipy mpi4py joblib\n```\n\nTo install the package, first build it with the utility script `./build` and then run `pip install -e .`\n\n#### Usage\n\nFigure 2 can be generated using\n```bash\n$ python main_dicod.py --met -K 25 -T 600 --timeout 7200 -d 10 --njobs 60 --hostfile hostfile --exp results\n```\n\nwhere hostfile is the configuration for the spawning of MPI processes.\n\n```\nhost1 slots=32\nhost2 slots=8\n...\n```\n\nThen the figures can be plotted using\n```bash\n$ python plot_dicod.py --met --dir save_exp/results\n```\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftommoral%2Fdicod","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftommoral%2Fdicod","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftommoral%2Fdicod/lists"}