{"id":35324578,"url":"https://github.com/manasapuellela/ai-ml-experiments","last_synced_at":"2026-04-06T21:31:43.503Z","repository":{"id":325117462,"uuid":"1099907963","full_name":"manasapuellela/ai-ml-experiments","owner":"manasapuellela","description":"A collection of small AI/ML experiments, data analyses, and model prototypes.","archived":false,"fork":false,"pushed_at":"2025-11-19T16:19:27.000Z","size":354,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-11-19T17:26:42.269Z","etag":null,"topics":["ai","data-science","deep-learning","embeddings","huggingface","jupyter-notebook","machine-learning","nlp","python","pytorch","semantic-search","sklearn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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built using Python.  \nThe goal of this repository is to demonstrate clear thinking, clean implementation, and end-to-end problem solving — from data exploration to model evaluation.\n\n---\n\n## 📁 Project Structure\nThis repository contains:\n\n- `notebooks/` → Data exploration, ML experiments, LLM demos  \n- `data/` → Small sample datasets (non-sensitive)  \n- `src/` → Python scripts for reusable functions  \n- `models/` → Saved models (only small ones, not large weights)  \n- `reports/` → Visualizations, metrics, observations  \n\n---\n\n## 🔬 What’s Inside\n- Classical ML: classification, regression, clustering  \n- Feature engineering workflows  \n- Model training \u0026 evaluation  \n- Simple neural network experiments  \n- Basic LLM tasks (embeddings, text classification, prompts)  \n- Real-world style documentation \u0026 explainability  \n\n---\n\n## 🛠 Tech Used\n- Python  \n- Pandas, NumPy  \n- scikit-learn  \n- Matplotlib / Seaborn  \n- PyTorch (basic)  \n- Hugging Face (LLM experiments)  \n\n---\n\n## 🎯 Goal\nTo show:\n- How I think about problems  \n- How I write clean, modular Python  \n- How I experiment with AI/ML ideas  \n- How I document insights clearly  \n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmanasapuellela%2Fai-ml-experiments","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmanasapuellela%2Fai-ml-experiments","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmanasapuellela%2Fai-ml-experiments/lists"}