{"id":14977105,"url":"https://github.com/infinitode/open-arc","last_synced_at":"2025-10-15T19:21:06.455Z","repository":{"id":244797095,"uuid":"816264306","full_name":"Infinitode/OPEN-ARC","owner":"Infinitode","description":"Open-source Platform for Engineering Neural Architectures and Research Collaboration. 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Each project presents a challenge, a dataset, and a leaderboard. All contributions are welcome, whether you're a hobbyist, researcher, student, or curious coder.\n\n- 🧠 Build models\n- 🧪 Share notebooks\n- 🏆 Update the leaderboard\n- 🚀 Further the field\n\n## 🔧 How to Participate\n\n1. **Pick a project** from the list below.\n2. **Create your model implementation** from scratch or by improving the base model.\n3. **Fork this repo and update `LEADERBOARD.md`** with:\n\n   * Your name or alias\n   * Architecture type\n   * Platform (e.g. Kaggle/Colab)\n   * A link to your notebook or GitHub files\n4. **Make a pull request.** Done! You’re on the board!\n\n\u003e [!NOTE]\n\u003e You do **not** need to touch anything other than `LEADERBOARD.md` to participate. Keep it simple!\n\n\n## 📁 Project Leaderboards (Top 5 Only)\n\n### 🩺 Project 1: Liver Cirrhosis Stage Classification\n\n[🔗 Dataset](https://www.kaggle.com/datasets/aadarshvelu/liver-cirrhosis-stage-classification)\n\n| Rank | Contributor | Architecture           | Platform | Base Model | Accuracy | Link                                            |\n| ---- | ----------- | ---------------------- | -------- | ---------- | -------- | ----------------------------------------------- |\n| 🥇   | Our Model   | RandomForestClassifier | Kaggle   | ✗          | 95.6%    | [Notebook](Project-1-LCSC/project-1-lcsc.ipynb) |\n\n### 🌦️ Project 2: Weather Type Classification\n\n[🔗 Dataset](https://www.kaggle.com/datasets/nikhil7280/weather-type-classification)\n\n| Rank | Contributor | Architecture           | Platform | Base Model | Accuracy | Link                                          |\n| ---- | ----------- | ---------------------- | -------- | ---------- | -------- | --------------------------------------------- |\n| 🥇   | Our Model   | RandomForestClassifier | Kaggle   | ✗          | 91.2%    | [Notebook](Project-2-WTC/project-2-wtc.ipynb) |\n\n### 🥔 Project 3: Potato Plant Disease Classification\n\n[🔗 Dataset](https://www.kaggle.com/datasets/hafiznouman786/potato-plant-diseases-data)\n\n| Rank | Contributor | Architecture | Platform | Base Model | Accuracy | Link                                            |\n| ---- | ----------- | ------------ | -------- | ---------- | -------- | ----------------------------------------------- |\n| 🥇   | Our Model   | CustomCNN    | Kaggle   | ✗          | 95.1%    | [Notebook](Project-3-PPDC/project-3-ppdc.ipynb) |\n\n### 🍷 Project 4: Red Wine Quality Classification\n\n[🔗 Dataset](https://www.kaggle.com/datasets/uciml/red-wine-quality-cortez-et-al-2009)\n\n| Rank | Contributor | Architecture               | Platform | Base Model | Accuracy | Link                                            |\n| ---- | ----------- | -------------------------- | -------- | ---------- | -------- | ----------------------------------------------- |\n| 🥇   | Our Model   | GradientBoostingClassifier | Kaggle   | ✗          | 72.8%    | [Notebook](Project-4-RWQC/project-4-rwqc.ipynb) |\n\n### ⚔️ Project 5: Terraria Weapon Name Generation\n\n[🔗 Dataset](https://www.kaggle.com/datasets/acr1209/all-terraria-weapons-dps-v-1449)\n\n| Rank | Contributor | Architecture | Platform | Base Model | Accuracy | Link                                            |\n| ---- | ----------- | ------------ | -------- | ---------- | -------- | ----------------------------------------------- |\n| 🥇   | Our Model   | SimpleRNN    | Kaggle   | ✔️         | 78.6%    | [Notebook](Project-5-TWNG/project-5-twng.ipynb) |\n\n### 📰 Project 6: News Headline Generation\n\n[🔗 Dataset](https://www.kaggle.com/datasets/sunnysai12345/news-summary)\n\n| Rank | Contributor | Architecture | Platform | Base Model | BLEU Score | Link                                          |\n| ---- | ----------- | ------------ | -------- | ---------- | ---------- | --------------------------------------------- |\n| 🥇   | Our Model   | DistilBART   | Kaggle   | ✗          | 52.8%      | [Notebook](Project-6-NHG/project-6-nhg.ipynb) |\n\n### 🌾 Project 7: Crop Recommendation\n\n[🔗 Dataset](https://www.kaggle.com/datasets/varshitanalluri/crop-recommendation-dataset)\n\n| Rank | Contributor | Architecture  | Platform | Base Model | Accuracy | Link                                        |\n| ---- | ----------- | ------------- | -------- | ---------- | -------- | ------------------------------------------- |\n| 🥇   | Our Model   | XGBClassifier | Kaggle   | ✔️         | 98.6%    | [Notebook](Project-7-CR/project-7-cr.ipynb) |\n\n### 🪴 Project 8: Plant Stress Prediction\n\n[🔗 Dataset](https://www.kaggle.com/datasets/ziya07/plant-health-data)\n\n| Rank | Contributor | Architecture  | Platform | Base Model | Accuracy | Link                                            |\n| ---- | ----------- | ------------- | -------- | ---------- | -------- | ----------------------------------------------- |\n| 🥇   | Our Model   | XGBClassifier | Kaggle   | ✔️         | 99.1%    | [Notebook](Project-8-PSPM/project-8-pspm.ipynb) |\n\n### 🚗 Project 9: Traffic Accident Prediction\n\n[🔗 Dataset](https://www.kaggle.com/datasets/denkuznetz/traffic-accident-prediction)\n\n| Rank | Contributor | Architecture  | Platform | Base Model | Accuracy | Link                                            |\n| ---- | ----------- | ------------- | -------- | ---------- | -------- | ----------------------------------------------- |\n| 🥇   | Our Model   | XGBClassifier | Kaggle   | ✔️         | 85.2%    | [Notebook](Project-9-TAPM/project-9-tapm.ipynb) |\n\n### 🍄 Project 10: Mushroom Classification\n\n[🔗 Dataset](https://www.kaggle.com/datasets/uciml/mushroom-classification)\n\n| Rank | Contributor | Architecture           | Platform | Base Model | Accuracy | Link                                            |\n| ---- | ----------- | ---------------------- | -------- | ---------- | -------- | ----------------------------------------------- |\n| 🥇   | Our Model   | RandomForestClassifier | Kaggle   | ✔️         | 91.1%    | [Notebook](Project-10-MCM/project-10-mcm.ipynb) |\n\n### Project 11: Basic Personality Prediction Model\n\n[🔗 Dataset](https://www.kaggle.com/datasets/hardikchhipa28/personality-dataset-introvert-or-extrovert)\n\n| Rank | Contributor | Architecture           | Platform | Base Model | Accuracy | Link                                            |\n| ---- | ----------- | ---------------------- | -------- | ---------- | -------- | ----------------------------------------------- |\n| 🥇   | Our Model   | XGBClassifier | Kaggle   | ✔️         | 92%    | [Notebook](Project-11-BPPM/project-11-bppm.ipynb) |\n\n### Project 12: Spam Mail Classification Model\n\n[🔗 Dataset](https://www.kaggle.com/datasets/hardikchhipa28/personality-dataset-introvert-or-extrovert)\n\n| Rank | Contributor | Architecture           | Platform | Base Model | Accuracy | Link                                            |\n| ---- | ----------- | ---------------------- | -------- | ---------- | -------- | ----------------------------------------------- |\n| 🥇   | Our Model   | MultinomialNB | Kaggle   | ✔️         | 98.4%    | [Notebook](Project-12/notebook.ipynb) |\n\n## 💬 Questions or Ideas?\n\nFeel free to open an issue, start a discussion, or just make a PR. This project is made to be collaborative, welcoming, and constantly evolving.\n\n\n## 🪪 License\n\nOPEN-ARC is licensed under the [MIT License](LICENSE). Go wild, be cool, and credit contributors where credit's due. Contributors' implementations and models may be subject to different licenses. Be sure to check them before using.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finfinitode%2Fopen-arc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Finfinitode%2Fopen-arc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finfinitode%2Fopen-arc/lists"}