{"id":26830604,"url":"https://github.com/dd-se/ml-app","last_synced_at":"2025-03-30T14:16:35.598Z","repository":{"id":284929180,"uuid":"956525021","full_name":"dd-se/ml-app","owner":"dd-se","description":"Predict unseen numbers with ML models trained on MNIST dataset.","archived":false,"fork":false,"pushed_at":"2025-03-28T12:13:07.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-28T12:35:02.369Z","etag":null,"topics":["opencv","python","scikit-learn","streamlit"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/dd-se.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":"2025-03-28T11:57:46.000Z","updated_at":"2025-03-28T12:04:41.000Z","dependencies_parsed_at":"2025-03-28T12:45:09.350Z","dependency_job_id":null,"html_url":"https://github.com/dd-se/ml-app","commit_stats":null,"previous_names":["dd-se/ml-app"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dd-se%2Fml-app","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dd-se%2Fml-app/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dd-se%2Fml-app/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dd-se%2Fml-app/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dd-se","download_url":"https://codeload.github.com/dd-se/ml-app/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246326783,"owners_count":20759439,"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","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":["opencv","python","scikit-learn","streamlit"],"created_at":"2025-03-30T14:16:35.158Z","updated_at":"2025-03-30T14:16:35.593Z","avatar_url":"https://github.com/dd-se.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Prerequisites\n\nBefore running the app, ensure Python 3.10 or higher installed.\n\n## Installation\n\n1. Clone the repository:\n\n    ```bash\n    git clone https://github.com/dd-se/ml-app\n    cd ml-app\n    ```\n\n2. Create a virtual environment (optional but recommended):\n\n    ```bash\n    python -m venv .venv\n    source .venv/bin/activate  # On Windows: .venv\\Scripts\\activate\n    ```\n\n3. Install the required dependencies:\n\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n## Running the App\n\n1. Start the Streamlit app:\n\n    ```bash\n    streamlit run app.py\n    ```\n\n2. Open your browser and navigate to the URL provided in the terminal (usually `http://localhost:8501`).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdd-se%2Fml-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdd-se%2Fml-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdd-se%2Fml-app/lists"}