{"id":30619354,"url":"https://github.com/nurulashraf/rnn-sequence-number-prediction","last_synced_at":"2026-05-08T09:33:18.537Z","repository":{"id":312199181,"uuid":"1046001339","full_name":"nurulashraf/rnn-sequence-number-prediction","owner":"nurulashraf","description":"This analysis demonstrates building and training a simple RNN model to predict the next number in a sequence, covering data preparation, model architecture, training, and prediction.","archived":false,"fork":false,"pushed_at":"2025-08-29T03:00:30.000Z","size":9,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-29T07:28:00.434Z","etag":null,"topics":["data-science","deep-learning","keras","machine-learning","python","recurrent-neural-networks","rnn","sequence-prediction","tensorflow","time-series"],"latest_commit_sha":null,"homepage":"","language":null,"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/nurulashraf.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,"zenodo":null}},"created_at":"2025-08-28T03:31:40.000Z","updated_at":"2025-08-29T03:00:34.000Z","dependencies_parsed_at":"2025-08-29T07:28:10.372Z","dependency_job_id":"210f6169-d6ab-494b-8802-329a053c5ef9","html_url":"https://github.com/nurulashraf/rnn-sequence-number-prediction","commit_stats":null,"previous_names":["nurulashraf/rnn-sequence-number-prediction"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/nurulashraf/rnn-sequence-number-prediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nurulashraf%2Frnn-sequence-number-prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nurulashraf%2Frnn-sequence-number-prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nurulashraf%2Frnn-sequence-number-prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nurulashraf%2Frnn-sequence-number-prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nurulashraf","download_url":"https://codeload.github.com/nurulashraf/rnn-sequence-number-prediction/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nurulashraf%2Frnn-sequence-number-prediction/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32774903,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-08T08:22:46.396Z","status":"ssl_error","status_checked_at":"2026-05-08T08:22:45.650Z","response_time":54,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["data-science","deep-learning","keras","machine-learning","python","recurrent-neural-networks","rnn","sequence-prediction","tensorflow","time-series"],"created_at":"2025-08-30T12:47:04.704Z","updated_at":"2026-05-08T09:33:18.522Z","avatar_url":"https://github.com/nurulashraf.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Predicting Sequence Number using Recurrent Neural Network (RNN)\n\nA simple RNN model that predicts the next number in a sequence. This project demonstrates data preparation, model architecture, training, and inference using Python, TensorFlow/Keras.\n\n## Project Structure\n\n- `notebooks/` – Jupyter Notebooks for data analysis, model training and evaluation  \n- `requirements.txt` – Python libraries needed to run the project  \n- `LICENSE` – MIT Licence for this project  \n- `README.md` – this file with overview and instructions\n\n---\n\n## Features\n\n- Generates sequential numeric data for training and validation\n- Builds a Recurrent Neural Network using TensorFlow/Keras\n- Trains the model to predict the next number in a sequence\n- Supports sequence inference post-training\n\n## Tools \u0026 Libraries\n\n- **Python 3.x**  \n- **TensorFlow / Keras** – for building and training the RNN  \n- **NumPy**, **pandas** (optional) – for data manipulation \n\n##  How to Use\n\n1. **Clone the repository**\n   ```bash\n   git clone https://github.com/nurulashraf/rnn-sequence-number-prediction.git\n   cd rnn-sequence-number-prediction\n    ```\n\n2. **Install dependencies**\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n3. **Open the notebook**\n\n   ```bash\n   jupyter notebook rnn-sequence-number-prediction.ipynb\n   ```\n\n---\n\n## License\n\nThis project is licensed under the MIT License — see [LICENSE](LICENSE) for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnurulashraf%2Frnn-sequence-number-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnurulashraf%2Frnn-sequence-number-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnurulashraf%2Frnn-sequence-number-prediction/lists"}