{"id":20141915,"url":"https://github.com/yixuan/almond","last_synced_at":"2025-07-22T10:33:04.229Z","repository":{"id":137096755,"uuid":"219396939","full_name":"yixuan/almond","owner":"yixuan","description":"ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion","archived":false,"fork":false,"pushed_at":"2019-11-16T23:47:13.000Z","size":2498,"stargazers_count":13,"open_issues_count":0,"forks_count":3,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-07-15T05:13:45.776Z","etag":null,"topics":["deep-learning","langevin-diffusion","latent-variable-models","machine-learning","neural-networks"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/yixuan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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":"2019-11-04T02:00:36.000Z","updated_at":"2024-09-05T16:00:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"6a73c3c6-b804-4914-9892-c342d3e41edc","html_url":"https://github.com/yixuan/almond","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/yixuan/almond","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yixuan%2Falmond","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yixuan%2Falmond/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yixuan%2Falmond/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yixuan%2Falmond/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yixuan","download_url":"https://codeload.github.com/yixuan/almond/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yixuan%2Falmond/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266475401,"owners_count":23934952,"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","status":"online","status_checked_at":"2025-07-22T02:00:09.085Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["deep-learning","langevin-diffusion","latent-variable-models","machine-learning","neural-networks"],"created_at":"2024-11-13T21:59:58.596Z","updated_at":"2025-07-22T10:33:04.215Z","avatar_url":"https://github.com/yixuan.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## ALMOND \u003cimg src=\"https://statr.me/images/sticker-almond.png\" alt=\"almond\" height=\"150px\" align=\"right\" /\u003e\n\nThis repository stores the code files for the article\n\"[ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion](https://doi.org/10.1080/01621459.2019.1691563)\".\n\n### Installation\n\nALMOND depends on the [MXNet](https://mxnet.incubator.apache.org/) deep learning framework.\nFirst install a proper version of MXNet following the\n[official documentation](https://mxnet.incubator.apache.org/get_started), for example:\n\n```bash\npip install mxnet --user\n```\n\nAnd then enter the `package` directory and run\n\n```bash\ncd package\npython3 setup install --user\n```\n\n### Running Examples\n\nThe `experiments` directory contains the code files for all numerical experiments in the\narticle. Simply run the Python/R files in order in each subdirectory. `results` contains\nthe generated plots used by the article.\n\n### License\n\nThe `almond` Python package and the experiment code files are under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyixuan%2Falmond","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyixuan%2Falmond","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyixuan%2Falmond/lists"}