Publish census run 20261105T195702000000Z-7ad519d0
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coverage/census-20261105T195702000000Z-7ad519d0.json
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data/observations/2026/11/05/census-20261105T195702000000Z-7ad519d0.jsonl
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:speech-and-audio"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjQzMzU=", "created_at": "2010-05-13T11:24:15Z", "description": "Airtime is Sourcefabric\u2019s open source radio software for scheduling and remote station management. Airtime provides a reliable audio playout with sub-second precision, an improved interface with modern usability features, advanced user management supporting roles and a Google-style calendar to schedule and move shows and playlists.", "domains": ["speech-and-audio"], "enrichment_status": "enriched", "enumeration_id": 664335, "fork": false, "forks": 0, "github_id": 664335, "homepage": "http://airtime.sourcefabric.org", "language": "PHP", "license": "AGPL-3.0", "methods": [], "name": "sourcefabric/airtime", "novelty_signals": ["description", "license-metadata", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2021-07-14T09:40:43Z", "query_ids": [], "queryless": true, "stars": 629, "topics": [], "updated_at": "2026-10-23T18:58:13Z", "url": "https://github.com/sourcefabric/airtime"}
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| 2 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "generic-ml-ai-term"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjQzNTE=", "created_at": "2010-05-13T11:32:07Z", "description": "My explorations of \"Paradigms of Artificial Intelligence Programming\" in Clojure", "domains": [], "enrichment_status": "enriched", "enumeration_id": 664351, "fork": false, "forks": 0, "github_id": 664351, "homepage": null, "language": "Clojure", "license": null, "methods": [], "name": "teropa/paip-clj", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2010-11-11T20:20:30Z", "query_ids": [], "queryless": true, "stars": 1, "topics": [], "updated_at": "2013-12-09T10:30:02Z", "url": "https://github.com/teropa/paip-clj"}
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| 3 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:machine-learning-systems"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjQ0NTA=", "created_at": "2010-05-13T13:07:11Z", "description": "Pseudo-Pascal Compiler", "domains": ["machine-learning-systems"], "enrichment_status": "enriched", "enumeration_id": 664450, "fork": false, "forks": 0, "github_id": 664450, "homepage": null, "language": "C++", "license": null, "methods": [], "name": "cptpingu/Cubs", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2010-05-13T13:10:38Z", "query_ids": [], "queryless": true, "stars": 0, "topics": [], "updated_at": "2022-03-03T21:26:58Z", "url": "https://github.com/cptpingu/Cubs"}
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| 4 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:optimization"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjQ3Mzk=", "created_at": "2010-05-13T15:33:18Z", "description": "Artificial Bee Colony optimization algorithm", "domains": ["optimization"], "enrichment_status": "enriched", "enumeration_id": 664739, "fork": false, "forks": 0, "github_id": 664739, "homepage": "http://devio.us/~allchemist/wiki/doku.php?id=bees", "language": "Common Lisp", "license": null, "methods": [], "name": "allchemist/bees", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2010-09-06T07:36:48Z", "query_ids": [], "queryless": true, "stars": 1, "topics": [], "updated_at": "2013-12-23T17:53:29Z", "url": "https://github.com/allchemist/bees"}
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| 5 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:optimization"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjQ5ODg=", "created_at": "2010-05-13T17:59:45Z", "description": "Metaheuristic bat like algorithm research in Python", "domains": ["optimization"], "enrichment_status": "enriched", "enumeration_id": 664988, "fork": false, "forks": 0, "github_id": 664988, "homepage": null, "language": "Python", "license": null, "methods": [], "name": "marcinn/metabat", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2011-03-01T23:04:04Z", "query_ids": [], "queryless": true, "stars": 6, "topics": [], "updated_at": "2024-01-26T11:56:16Z", "url": "https://github.com/marcinn/metabat"}
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| 6 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:machine-learning-systems"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjUwNTI=", "created_at": "2010-05-13T18:41:35Z", "description": "A JavaScript-to-Python compiler and runtime library.", "domains": ["machine-learning-systems"], "enrichment_status": "enriched", "enumeration_id": 665052, "fork": false, "forks": 0, "github_id": 665052, "homepage": "http://github.com/pib/pudgies", "language": "Python", "license": null, "methods": [], "name": "pib/pudgies", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2011-08-01T15:53:22Z", "query_ids": [], "queryless": true, "stars": 2, "topics": [], "updated_at": "2013-11-20T00:51:21Z", "url": "https://github.com/pib/pudgies"}
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| 7 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:speech-and-audio"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjU1OTY=", "created_at": "2010-05-14T00:05:16Z", "description": null, "domains": ["speech-and-audio"], "enrichment_status": "enriched", "enumeration_id": 665596, "fork": false, "forks": 0, "github_id": 665596, "homepage": null, "language": null, "license": null, "methods": [], "name": "piyush2010/Voice", "novelty_signals": ["repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": null, "query_ids": [], "queryless": true, "stars": 1, "topics": [], "updated_at": "2012-12-14T16:51:03Z", "url": "https://github.com/piyush2010/Voice"}
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| 8 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:computer-vision"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjU2OTE=", "created_at": "2010-05-14T01:37:14Z", "description": "Plugins for the V3D application, that provide ITK image segmentation and registration functionalities. Please note that the official repository for this code has now moved to https://svn.janelia.org/penglab/projects/v3d", "domains": ["computer-vision"], "enrichment_status": "enriched", "enumeration_id": 665691, "fork": false, "forks": 0, "github_id": 665691, "homepage": "http://www.itk.org", "language": "C++", "license": "NOASSERTION", "methods": [], "name": "luisibanez/ITK-V3D-Plugins", "novelty_signals": ["description", "license-metadata", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2010-08-05T19:01:47Z", "query_ids": [], "queryless": true, "stars": 19, "topics": [], "updated_at": "2025-10-28T12:47:17Z", "url": "https://github.com/luisibanez/ITK-V3D-Plugins"}
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| 9 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:computer-vision", "classifier-domain:robotics-and-control", "classifier-domain:speech-and-audio", "generic-ml-ai-term"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjU3NjQ=", "created_at": "2010-05-14T02:48:33Z", "description": "The NASA Vision Workbench is a general purpose image processing and computer vision library developed by the Autonomous Systems and Robotics (ASR) Area in the Intelligent Systems Division at the NASA Ames Research Center.", "domains": ["computer-vision", "robotics-and-control", "speech-and-audio"], "enrichment_status": "enriched", "enumeration_id": 665764, "fork": false, "forks": 0, "github_id": 665764, "homepage": "http://irg.arc.nasa.gov/nasa-vision-workbench", "language": "C++", "license": "NOASSERTION", "methods": [], "name": "visionworkbench/visionworkbench", "novelty_signals": ["description", "license-metadata", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2026-11-04T22:54:58Z", "query_ids": [], "queryless": true, "stars": 504, "topics": [], "updated_at": "2026-11-04T22:55:02Z", "url": "https://github.com/visionworkbench/visionworkbench"}
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| 10 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:machine-learning-systems"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjU3ODA=", "created_at": "2010-05-14T03:01:02Z", "description": "Microsoft's Ruby language compiler that is built on top of the Dynamic Language Runtime.", "domains": ["machine-learning-systems"], "enrichment_status": "enriched", "enumeration_id": 665780, "fork": true, "forks": 0, "github_id": 665780, "homepage": "http://ironruby.net", "language": "Ruby", "license": null, "methods": [], "name": "ir-zz/ironruby", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2010-04-13T02:40:20Z", "query_ids": [], "queryless": true, "stars": 1, "topics": [], "updated_at": "2012-12-14T16:51:17Z", "url": "https://github.com/ir-zz/ironruby"}
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| 11 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-method:neural-network", "generic-ml-ai-term"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjU4OTM=", "created_at": "2010-05-14T04:53:40Z", "description": "An OpenCL neural network implementation in Python. Uses massively parallel GPU computations to train and test neural network. Uses PyOpenCL as wrapper around OpenCL. Tight integration with NumPy. Tags: python, pyopencl, gpgpu, neural network, gpu computations, opencl, numpy", "domains": [], "enrichment_status": "enriched", "enumeration_id": 665893, "fork": false, "forks": 0, "github_id": 665893, "homepage": null, "language": "Python", "license": "GPL-3.0", "methods": ["neural-network"], "name": "reven86/gpgpu-neuralnet", "novelty_signals": ["description", "license-metadata", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2010-12-13T21:06:59Z", "query_ids": [], "queryless": true, "stars": 26, "topics": [], "updated_at": "2026-07-27T17:26:44Z", "url": "https://github.com/reven86/gpgpu-neuralnet"}
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| 12 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:science-and-engineering"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjYwNTQ=", "created_at": "2010-05-14T07:52:58Z", "description": "Mirror of Apache Chemistry (incubating)", "domains": ["science-and-engineering"], "enrichment_status": "enriched", "enumeration_id": 666054, "fork": true, "forks": 0, "github_id": 666054, "homepage": null, "language": "Java", "license": null, "methods": [], "name": "nicolas-raoul/chemistry", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2010-05-05T13:30:08Z", "query_ids": [], "queryless": true, "stars": 1, "topics": [], "updated_at": "2012-12-14T16:51:53Z", "url": "https://github.com/nicolas-raoul/chemistry"}
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| 13 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:machine-learning-systems"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjYzMzU=", "created_at": "2010-05-14T12:01:12Z", "description": "iovm2 is an attempt to build optimizing compiler for Io programming language", "domains": ["machine-learning-systems"], "enrichment_status": "enriched", "enumeration_id": 666335, "fork": true, "forks": 0, "github_id": 666335, "homepage": "iolanguage.com", "language": "JavaScript", "license": null, "methods": [], "name": "chrisdew/iovm2", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2009-05-24T07:36:43Z", "query_ids": [], "queryless": true, "stars": 1, "topics": [], "updated_at": "2012-12-14T16:52:17Z", "url": "https://github.com/chrisdew/iovm2"}
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| 14 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:time-series-and-forecasting"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjYzNTg=", "created_at": "2010-05-14T12:16:38Z", "description": "Very Short Term Load Forecasting", "domains": ["time-series-and-forecasting"], "enrichment_status": "enriched", "enumeration_id": 666358, "fork": false, "forks": 0, "github_id": 666358, "homepage": null, "language": "Java", "license": "NOASSERTION", "methods": [], "name": "ldmbouge/vstlf", "novelty_signals": ["description", "license-metadata", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2011-11-01T18:12:26Z", "query_ids": [], "queryless": true, "stars": 15, "topics": [], "updated_at": "2026-05-19T21:20:13Z", "url": "https://github.com/ldmbouge/vstlf"}
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| 15 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:machine-learning-systems"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjY3MjQ=", "created_at": "2010-05-14T15:55:42Z", "description": "Library for LED Matrix Display using CCS Compiler and PIC microcontrollers", "domains": ["machine-learning-systems"], "enrichment_status": "enriched", "enumeration_id": 666724, "fork": false, "forks": 0, "github_id": 666724, "homepage": "http://www.todopic.net/foros/???", "language": "C", "license": null, "methods": [], "name": "brunof/LED-Matrix-Library", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2010-07-30T03:09:13Z", "query_ids": [], "queryless": true, "stars": 1, "topics": [], "updated_at": "2016-01-15T17:15:26Z", "url": "https://github.com/brunof/LED-Matrix-Library"}
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| 16 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:speech-and-audio"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjcwMDY=", "created_at": "2010-05-14T18:45:10Z", "description": "Video.js v10 - open source media player framework for HTML and React.", "domains": ["speech-and-audio"], "enrichment_status": "enriched", "enumeration_id": 667006, "fork": false, "forks": 0, "github_id": 667006, "homepage": "https://videojs.org", "language": "TypeScript", "license": "NOASSERTION", "methods": [], "name": "videojs/video.js", "novelty_signals": ["description", "github-topics", "license-metadata", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2026-11-05T19:34:51Z", "query_ids": [], "queryless": true, "stars": 40083, "topics": ["dash", "hls", "html", "html5", "html5-audio", "html5-video", "javascript", "player", "react", "svelte", "video", "video-player", "videojs", "vue"], "updated_at": "2026-11-05T19:44:09Z", "url": "https://github.com/videojs/video.js"}
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| 17 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:health-and-biomedicine"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NjcyODk=", "created_at": "2010-05-14T21:09:33Z", "description": "Python wrapper -- and more -- for BEDTools (bioinformatics tools for \"genome arithmetic\")", "domains": ["health-and-biomedicine"], "enrichment_status": "enriched", "enumeration_id": 667289, "fork": false, "forks": 0, "github_id": 667289, "homepage": "http://daler.github.io/pybedtools", "language": "Python", "license": "NOASSERTION", "methods": [], "name": "daler/pybedtools", "novelty_signals": ["description", "license-metadata", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2026-08-26T20:25:02Z", "query_ids": [], "queryless": true, "stars": 330, "topics": [], "updated_at": "2026-09-24T00:54:51Z", "url": "https://github.com/daler/pybedtools"}
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| 18 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:speech-and-audio"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2Njc4Nzk=", "created_at": "2010-05-15T08:02:21Z", "description": "HTML5 Audio Element, Jamendo API, Canvas, ProcessingJS", "domains": ["speech-and-audio"], "enrichment_status": "enriched", "enumeration_id": 667879, "fork": false, "forks": 0, "github_id": 667879, "homepage": "http://webmove.org/projects/jamendo-html5-audio-player/", "language": null, "license": null, "methods": [], "name": "danielw3b/Jamendo-HTML5-Audio-Player", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": null, "query_ids": [], "queryless": true, "stars": 2, "topics": [], "updated_at": "2012-12-14T16:55:10Z", "url": "https://github.com/danielw3b/Jamendo-HTML5-Audio-Player"}
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| 19 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:machine-learning-systems"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2Njc5MTk=", "created_at": "2010-05-15T08:38:36Z", "description": "Experiment with an implementation of a DiaSpec compiler which generates a functional programming framework", "domains": ["machine-learning-systems"], "enrichment_status": "enriched", "enumeration_id": 667919, "fork": true, "forks": 0, "github_id": 667919, "homepage": null, "language": "Haskell", "license": null, "methods": [], "name": "balland/Functional-DiaSpec", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2010-05-12T18:34:38Z", "query_ids": [], "queryless": true, "stars": 1, "topics": [], "updated_at": "2012-12-14T16:55:15Z", "url": "https://github.com/balland/Functional-DiaSpec"}
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:reinforcement-learning", "classifier-method:reinforcement-learning", "generic-ml-ai-term"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2NzgzODU=", "created_at": "2010-05-21T04:12:26Z", "description": "An experiment to compare the performance of different reinforcement learning algorithms on Pong game", "domains": ["reinforcement-learning"], "enrichment_status": "enriched", "enumeration_id": 678385, "fork": false, "forks": 0, "github_id": 678385, "homepage": null, "language": "Python", "license": null, "methods": ["reinforcement-learning"], "name": "lono175/Pong", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2010-05-30T20:58:59Z", "query_ids": [], "queryless": true, "stars": 2, "topics": [], "updated_at": "2014-12-23T07:31:57Z", "url": "https://github.com/lono175/Pong"}
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| 64 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:recommender-systems"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2Nzg0MzM=", "created_at": "2010-05-21T05:12:20Z", "description": "Various ways to draw customers' attention to other products", "domains": ["recommender-systems"], "enrichment_status": "enriched", "enumeration_id": 678433, "fork": true, "forks": 0, "github_id": 678433, "homepage": null, "language": "Ruby", "license": null, "methods": [], "name": "moonshine/spree-recommendations", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2009-09-22T19:53:30Z", "query_ids": [], "queryless": true, "stars": 1, "topics": [], "updated_at": "2012-12-14T17:15:19Z", "url": "https://github.com/moonshine/spree-recommendations"}
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| 65 |
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{"archived": true, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:machine-learning-systems"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2Nzg1Nzg=", "created_at": "2010-05-21T07:54:04Z", "description": "Binding to Google Closure Compiler", "domains": ["machine-learning-systems"], "enrichment_status": "enriched", "enumeration_id": 678578, "fork": false, "forks": 0, "github_id": 678578, "homepage": null, "language": "CoffeeScript", "license": "MIT", "methods": [], "name": "tim-smart/node-closure", "novelty_signals": ["description", "license-metadata", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2017-02-12T23:41:59Z", "query_ids": [], "queryless": true, "stars": 35, "topics": [], "updated_at": "2026-10-02T19:55:26Z", "url": "https://github.com/tim-smart/node-closure"}
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| 66 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:speech-and-audio"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2Nzg3MTY=", "created_at": "2010-05-21T10:05:25Z", "description": "Android app to notify new emails with voice", "domains": ["speech-and-audio"], "enrichment_status": "enriched", "enumeration_id": 678716, "fork": true, "forks": 0, "github_id": 678716, "homepage": null, "language": "Java", "license": null, "methods": [], "name": "yokato/mail-speaks", "novelty_signals": ["description", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2009-04-12T15:41:39Z", "query_ids": [], "queryless": true, "stars": 1, "topics": [], "updated_at": "2012-12-14T17:15:52Z", "url": "https://github.com/yokato/mail-speaks"}
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| 67 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:robotics-and-control"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2Nzg4NTU=", "created_at": "2010-05-21T12:16:18Z", "description": null, "domains": ["robotics-and-control"], "enrichment_status": "enriched", "enumeration_id": 678855, "fork": false, "forks": 0, "github_id": 678855, "homepage": null, "language": "Objective-C", "license": null, "methods": [], "name": "3lectrologos/Robotics", "novelty_signals": ["repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2010-05-22T08:35:52Z", "query_ids": [], "queryless": true, "stars": 0, "topics": [], "updated_at": "2013-10-31T00:06:57Z", "url": "https://github.com/3lectrologos/Robotics"}
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| 68 |
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{"archived": false, "candidate_evidence": ["census-rule:liberal-ml-ai-v1", "classifier-domain:computer-vision", "generic-ml-ai-term"], "candidate_rule": "liberal-ml-ai-v1", "candidate_status": "candidate", "census_node_id": "MDEwOlJlcG9zaXRvcnk2Nzk0MDY=", "created_at": "2010-05-21T18:02:09Z", "description": "Image Processing & Computer Vision library (v2.7.0)", "domains": ["computer-vision"], "enrichment_status": "enriched", "enumeration_id": 679406, "fork": false, "forks": 0, "github_id": 679406, "homepage": "http://camellia.sourceforge.net", "language": "C", "license": "NOASSERTION", "methods": [], "name": "sigmike/camellia", "novelty_signals": ["description", "license-metadata", "repository-metadata"], "observed_at": "2026-11-05T19:57:02.774406+00:00", "pushed_at": "2010-05-21T22:32:23Z", "query_ids": [], "queryless": true, "stars": 16, "topics": [], "updated_at": "2026-03-12T09:04:34Z", "url": "https://github.com/sigmike/camellia"}
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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runs/census-20261105T195702000000Z-7ad519d0.manifest.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"format":"gh_ml_census_run","parent_revision":"ddd4698bab897e707e09aaba7a3467ea8b45033e","payloads":{"coverage/census-20261105T195702000000Z-7ad519d0.json":"2c27902b63952e57aa44712439b832597dd051477cbd90ead7ffb55ccf80923c","data/observations/2026/11/05/census-20261105T195702000000Z-7ad519d0.jsonl":"f462de4c96a013a5a8e59d00123c9c8c89900dd5cdf3f65b72a69b19789ac4a3","state/census.json":"25cd11162d74845f67a462cd9db03288c3b5f140ad15c3a6422c20dec1d1420a"},"run_id":"20261105T195702000000Z-7ad519d0","version":1}
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state/census.json
CHANGED
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