{"id":30138414,"url":"https://github.com/hetbhalani/hypertuna","last_synced_at":"2025-08-11T01:08:59.430Z","repository":{"id":308278862,"uuid":"1028501629","full_name":"hetbhalani/HyperTuna","owner":"hetbhalani","description":"Hyperparameter-Tuning for machine learning models using streamlit","archived":false,"fork":false,"pushed_at":"2025-08-05T03:52:35.000Z","size":437,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-05T05:23:23.359Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://hyper-tuna.streamlit.app/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hetbhalani.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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}},"created_at":"2025-07-29T16:12:28.000Z","updated_at":"2025-08-05T03:52:38.000Z","dependencies_parsed_at":"2025-08-05T05:35:21.104Z","dependency_job_id":null,"html_url":"https://github.com/hetbhalani/HyperTuna","commit_stats":null,"previous_names":["hetbhalani/hypertuna"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/hetbhalani/HyperTuna","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hetbhalani%2FHyperTuna","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hetbhalani%2FHyperTuna/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hetbhalani%2FHyperTuna/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hetbhalani%2FHyperTuna/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hetbhalani","download_url":"https://codeload.github.com/hetbhalani/HyperTuna/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hetbhalani%2FHyperTuna/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":269815181,"owners_count":24479498,"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":"2025-08-10T02:00:08.965Z","response_time":71,"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":[],"created_at":"2025-08-11T01:08:58.810Z","updated_at":"2025-08-11T01:08:59.402Z","avatar_url":"https://github.com/hetbhalani.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🎛️ ML Hyperparameter Tuning Playground\n\nThis project is a collection of **interactive Streamlit app** that let you **tune hyperparameters** of various classical machine learning models in real-time.\n\n\nEach app focuses on:\n- 🎯 Tuning model hyperparameters\n- 🧪 Evaluating model performance\n- 📈 Visualizing results (PCA, accuracy, confusion matrix, etc.)\n\n---\n\u003cbr\u003e\n\n## 🚀 Run Any Model App\n\n### 1. Clone the repository:\n```bash\ngit clone https://github.com/hetbhalani/HyperTuna.git\n```\n\n### 2. Install dependencies:\n```\npip install -r requirements.txt\n```\n\n### 3. Run the App:\n```\nstreamlit run app.py\n```\n\n\u003cbr\u003e\n\n## 📷 Screenshorts\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"./imgs/home.png\" width=\"1000px\" /\u003e\n  \u003cimg src=\"./imgs/ex.png\" /\u003e\n\u003c/p\u003e\n\n\u003cbr\u003e\n\n## 🧠 Included Models\n\n| Filename           | Model                  | Type           | Visuals / Outputs               |\n|--------------------|------------------------|----------------|---------------------------------|\n| `knn.py`           | K-Nearest Neighbors    | Classification | Accuracy, Confusion Matrix, PCA |\n| `decision_tree.py` | Decision Tree          | Classification | Accuracy, Tree Depth, Heatmap   |\n| `random_forest.py` | Random Forest          | Classification | Accuracy, Feature Importance    |\n| `xgboost.py`       | XGBoost                | Classification | Accuracy, Feature Importance    |\n| `svm.py`           | Support Vector Machine | Classification | Accuracy, Heatmap               |\n| `k_means.py`       | KMeans Clustering      | Clustering     | PCA Plot, Cluster Accuracy      |\n| `dbscan.py`        | DBSCAN Clustering      | Clustering     | PCA Visualization               |\n\n\u003cbr\u003e\n\n## ✨ Features\n🔧 Interactive Hyperparameter Tuning via sliders and dropdowns\n\n📊 Live metrics: Accuracy, R² Score, Confusion Matrix, Cluster Performance\n\n📉 Visualizations: PCA, Feature Importance, Heatmaps\n\n🎓 Educational: Learn how tuning affects model performance\n\n\u003cbr\u003e\n\n## 👨‍💻 Author\nBuilt by Het Bhalani — feel free to connect or contribute!\u003cbr\u003e\ninspired by - CampusX\n\n\u003cbr\u003e\n\n## 🤝 Contribute\n\nFeel free to **fork** this repository, **improve** the code, and make a **Pull Request** — your contributions are highly appreciated! 🚀\n\n### 🔧 Here are some functionalities you can add:\n- Add more ML models\n- User can add csv file and based in that user can tune selected model\n- Implement cross-validation for better evaluation\n- Add export functionality for trained models (e.g., using `joblib`)\n- Improve visualizations with more interactive plots (e.g., Plotly)\n\nLet’s make this project better together! 💡\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhetbhalani%2Fhypertuna","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhetbhalani%2Fhypertuna","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhetbhalani%2Fhypertuna/lists"}