{"id":15707434,"url":"https://github.com/robmarkcole/umap-image-embedding-streamlit-app","last_synced_at":"2026-05-18T15:34:37.278Z","repository":{"id":85844655,"uuid":"417357717","full_name":"robmarkcole/umap-image-embedding-streamlit-app","owner":"robmarkcole","description":"App to explore umap image embeddings for MNIST class datasets","archived":false,"fork":false,"pushed_at":"2021-10-15T06:44:59.000Z","size":12645,"stargazers_count":2,"open_issues_count":2,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-07-21T22:58:49.647Z","etag":null,"topics":["bokeh","matplotlib","mnist","streamlit","umap"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/robmarkcole.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}},"created_at":"2021-10-15T03:30:54.000Z","updated_at":"2023-10-27T05:14:49.000Z","dependencies_parsed_at":null,"dependency_job_id":"a86aff4c-5b94-4fa9-b794-6f7bc03392a0","html_url":"https://github.com/robmarkcole/umap-image-embedding-streamlit-app","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/robmarkcole/umap-image-embedding-streamlit-app","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robmarkcole%2Fumap-image-embedding-streamlit-app","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robmarkcole%2Fumap-image-embedding-streamlit-app/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robmarkcole%2Fumap-image-embedding-streamlit-app/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robmarkcole%2Fumap-image-embedding-streamlit-app/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/robmarkcole","download_url":"https://codeload.github.com/robmarkcole/umap-image-embedding-streamlit-app/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robmarkcole%2Fumap-image-embedding-streamlit-app/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266704492,"owners_count":23971483,"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":"2025-07-23T02:00:09.312Z","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":["bokeh","matplotlib","mnist","streamlit","umap"],"created_at":"2024-10-03T20:40:31.548Z","updated_at":"2026-05-18T15:34:32.255Z","avatar_url":"https://github.com/robmarkcole.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# umap-image-embedding-streamlit-app\nApp to explore umap image embeddings for MNIST class datasets.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://github.com/robmarkcole/umap-image-embedding-streamlit-app/blob/main/usage.png\" width=\"750\"\u003e\n\u003c/p\u003e\n\n## UMAP\nUmap depends on numba which itself uses a pinned version of numpy. This dependency limitation can be avoided by splitting the generation of embeddings and the plotting of embeddings into different envs if required. Simply use the exported `embedding.npy` file\n\n## Dev\n* `python3 -m venv venv`\n* `source venv/bin/activate`\n* `pip install -r requirements.txt`\n* `pip install jupyterlab` for dev or `streamlit run app.py` for the app","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frobmarkcole%2Fumap-image-embedding-streamlit-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frobmarkcole%2Fumap-image-embedding-streamlit-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frobmarkcole%2Fumap-image-embedding-streamlit-app/lists"}