{"id":49582366,"url":"https://github.com/kire-github/word2vec-numpy","last_synced_at":"2026-05-03T20:43:26.033Z","repository":{"id":345386511,"uuid":"1183202199","full_name":"kire-github/word2vec-numpy","owner":"kire-github","description":"A Skipgram with Negative Sampling (SGNS) implementation in pure NumPy","archived":false,"fork":false,"pushed_at":"2026-03-18T22:09:39.000Z","size":13,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-03-19T10:54:01.261Z","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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kire-github.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-03-16T11:25:26.000Z","updated_at":"2026-03-18T22:09:43.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/kire-github/word2vec-numpy","commit_stats":null,"previous_names":["kire-github/word2vec-numpy"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/kire-github/word2vec-numpy","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kire-github%2Fword2vec-numpy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kire-github%2Fword2vec-numpy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kire-github%2Fword2vec-numpy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kire-github%2Fword2vec-numpy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kire-github","download_url":"https://codeload.github.com/kire-github/word2vec-numpy/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kire-github%2Fword2vec-numpy/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32584651,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-03T06:36:36.687Z","status":"ssl_error","status_checked_at":"2026-05-03T06:36:09.306Z","response_time":103,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":[],"created_at":"2026-05-03T20:43:24.765Z","updated_at":"2026-05-03T20:43:26.029Z","avatar_url":"https://github.com/kire-github.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# word2vec-numpy\n\nThis project implements the Word2Vec algorithm using a Skipgram model with negative sampling in NumPy without the use of an ML framework.\n\n## Usage\n\nThe training's parameters can be adjusted in [`config.py`](./config.py).\n\nAn example of how to train the model on the [`text8`](https://mattmahoney.net/dc/textdata.html) dataset is available in [`text8_example.py`](./text8_example.py). To be able to run this, you must download and unzip the [`text8`](https://mattmahoney.net/dc/textdata.html) dataset. This can be done using:\n\n```\nwget http://mattmahoney.net/dc/text8.zip\nunzip text8.zip\n```\n\nFollowing this, it can be run via:\n\n```\npython ./text8_example.py\n```\n\n## References \u0026 Citations\n\n- [**The Illustrated Word2Vec**](https://jalammar.github.io/illustrated-word2vec/)\n- [**word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method**](https://arxiv.org/abs/1402.3722)\n- [**word2vec Parameter Learning Explained**](https://arxiv.org/abs/1411.2738)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkire-github%2Fword2vec-numpy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkire-github%2Fword2vec-numpy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkire-github%2Fword2vec-numpy/lists"}