OPEN-ARC

Open-source Platform for Engineering Neural Architectures and Research Collaboration

👋 Welcome to OPEN-ARC

OPEN-ARC is an open-source initiative to advance AI research through collaboration and community-driven development. Each project presents a challenge, a dataset, and a leaderboard. All contributions are welcome, whether you're a hobbyist, researcher, student, or curious coder.

• 🧠 Build models
• 🧪 Share notebooks
• 🏆 Update the leaderboard
• 🚀 Further the field

🔧 How to Participate

1. Pick a project from the list below.

2. Create your model implementation from scratch or by improving the base model.

3. Fork this repo and update LEADERBOARD.md with:

   • Your name or alias
   • Architecture type
   • Platform (e.g. Kaggle/Colab)
   • A link to your notebook or GitHub files

4. Make a pull request. Done! You’re on the board!

Note

You do not need to touch anything other than LEADERBOARD.md to participate. Keep it simple!

📁 Project Leaderboards (Top 5 Only)

🩺 Project 1: Liver Cirrhosis Stage Classification

🔗 Dataset

Rank	Contributor	Architecture	Platform	Base Model	Accuracy	Link
🥇	Our Model	RandomForestClassifier	Kaggle	✗	95.6%	Notebook

🌦️ Project 2: Weather Type Classification

🔗 Dataset

Rank	Contributor	Architecture	Platform	Base Model	Accuracy	Link
🥇	Our Model	RandomForestClassifier	Kaggle	✗	91.2%	Notebook

🥔 Project 3: Potato Plant Disease Classification

🔗 Dataset

Rank	Contributor	Architecture	Platform	Base Model	Accuracy	Link
🥇	Our Model	CustomCNN	Kaggle	✗	95.1%	Notebook

🍷 Project 4: Red Wine Quality Classification

🔗 Dataset

Rank	Contributor	Architecture	Platform	Base Model	Accuracy	Link
🥇	Our Model	GradientBoostingClassifier	Kaggle	✗	72.8%	Notebook

⚔️ Project 5: Terraria Weapon Name Generation

🔗 Dataset

Rank	Contributor	Architecture	Platform	Base Model	Accuracy	Link
🥇	Our Model	SimpleRNN	Kaggle	✔️	78.6%	Notebook

📰 Project 6: News Headline Generation

🔗 Dataset

Rank	Contributor	Architecture	Platform	Base Model	BLEU Score	Link
🥇	Our Model	DistilBART	Kaggle	✗	52.8%	Notebook

🌾 Project 7: Crop Recommendation

🔗 Dataset

Rank	Contributor	Architecture	Platform	Base Model	Accuracy	Link
🥇	Our Model	XGBClassifier	Kaggle	✔️	98.6%	Notebook

🪴 Project 8: Plant Stress Prediction

🔗 Dataset

Rank	Contributor	Architecture	Platform	Base Model	Accuracy	Link
🥇	Our Model	XGBClassifier	Kaggle	✔️	99.1%	Notebook

🚗 Project 9: Traffic Accident Prediction

🔗 Dataset

Rank	Contributor	Architecture	Platform	Base Model	Accuracy	Link
🥇	Our Model	XGBClassifier	Kaggle	✔️	85.2%	Notebook

🍄 Project 10: Mushroom Classification

🔗 Dataset

Rank	Contributor	Architecture	Platform	Base Model	Accuracy	Link
🥇	Our Model	RandomForestClassifier	Kaggle	✔️	91.1%	Notebook

💬 Questions or Ideas?

Feel free to open an issue, start a discussion, or just make a PR. This project is made to be collaborative, welcoming, and constantly evolving.

🪪 License

OPEN-ARC is licensed under the MIT 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.