{"id":50850218,"url":"https://github.com/utakotoba/mlx-lattice","last_synced_at":"2026-06-14T13:30:37.573Z","repository":{"id":361540458,"uuid":"1252264052","full_name":"utakotoba/mlx-lattice","owner":"utakotoba","description":"Sparse convolution library for MLX designed for point cloud operation.","archived":false,"fork":false,"pushed_at":"2026-06-08T13:33:34.000Z","size":437,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-06-08T15:25:54.126Z","etag":null,"topics":["inference","mlx","neural-network","point-cloud","sparse","sparse-matrix","training"],"latest_commit_sha":null,"homepage":"https://pypi.org/project/mlx-lattice/","language":"C++","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/utakotoba.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-05-28T10:52:25.000Z","updated_at":"2026-06-08T13:34:01.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/utakotoba/mlx-lattice","commit_stats":null,"previous_names":["utakotoba/mlx-lattice"],"tags_count":5,"template":false,"template_full_name":null,"purl":"pkg:github/utakotoba/mlx-lattice","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/utakotoba%2Fmlx-lattice","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/utakotoba%2Fmlx-lattice/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/utakotoba%2Fmlx-lattice/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/utakotoba%2Fmlx-lattice/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/utakotoba","download_url":"https://codeload.github.com/utakotoba/mlx-lattice/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/utakotoba%2Fmlx-lattice/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34323995,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-14T02:00:07.365Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","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":["inference","mlx","neural-network","point-cloud","sparse","sparse-matrix","training"],"created_at":"2026-06-14T13:30:33.674Z","updated_at":"2026-06-14T13:30:37.566Z","avatar_url":"https://github.com/utakotoba.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"### MLX Lattice\n\nSparse convolution library for Apple [MLX](https://github.com/ml-explore/mlx) designed for point cloud operations.\n\n\u003e [!WARNING]\n\u003e Current branch is mainly used for refactoring for version 0.2.0.\n\n### Acknowledgement\n\nThis project is heavily based on [MLX](https://github.com/ml-explore/mlx), an array framework for machine learning on Apple silicon developed by Apple machine learning research.\n\n### License\n\nCopyright © 2026 Z.Y. Lin; open sourced under [MIT license](/LICENSE)\n\n### Citation\n\nIf you use this project in research, please cite this repository using the metadata in [`CITATION.cff`](./CITATION.cff).\n\n```BibTex\n@software{mlx-lattice2026,\n  author = {Lin, Zhenyan},\n  license = {MIT},\n  title = {{mlx-lattice}: Sparse convolution library for MLX},\n  url = {https://github.com/utakotoba/mlx-lattice},\n  year = {2026},\n}\n```\n\nThis project uses [MLX](https://github.com/ml-explore/mlx) for machine learning on Apple silicon. If MLX is relevant to your research results, please cite MLX as requested by its authors, refer to [mlx#citing-mlx](https://github.com/ml-explore/mlx#citing-mlx).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Futakotoba%2Fmlx-lattice","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Futakotoba%2Fmlx-lattice","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Futakotoba%2Fmlx-lattice/lists"}