{"id":27641265,"url":"https://github.com/huyduc1602/generative_ai_project","last_synced_at":"2026-04-24T11:32:47.544Z","repository":{"id":288866022,"uuid":"969397390","full_name":"huyduc1602/generative_ai_project","owner":"huyduc1602","description":"🤖 A state-of-the-art generative AI model for creating realistic text/images with PyTorch. Includes training pipeline, evaluation metrics, and easy-to-use inference API.","archived":false,"fork":false,"pushed_at":"2025-04-20T03:53:18.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-20T04:29:16.977Z","etag":null,"topics":["ai-research","artificial-intelligence","data-science","deep-learning","generative-ai","machine-learning","neural-networks","python","pytorch"],"latest_commit_sha":null,"homepage":"","language":"Python","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/huyduc1602.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":"2025-04-20T03:50:15.000Z","updated_at":"2025-04-20T03:56:27.000Z","dependencies_parsed_at":"2025-04-21T09:48:18.617Z","dependency_job_id":null,"html_url":"https://github.com/huyduc1602/generative_ai_project","commit_stats":null,"previous_names":["huyduc1602/generative_ai_project"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huyduc1602%2Fgenerative_ai_project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huyduc1602%2Fgenerative_ai_project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huyduc1602%2Fgenerative_ai_project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huyduc1602%2Fgenerative_ai_project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/huyduc1602","download_url":"https://codeload.github.com/huyduc1602/generative_ai_project/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250535069,"owners_count":21446503,"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","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":["ai-research","artificial-intelligence","data-science","deep-learning","generative-ai","machine-learning","neural-networks","python","pytorch"],"created_at":"2025-04-23T23:42:37.814Z","updated_at":"2026-04-24T11:32:42.525Z","avatar_url":"https://github.com/huyduc1602.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Generative AI Project\n\nThis repository contains the implementation of a generative AI model.\n\n## About\n\nThis generative AI project implements a state-of-the-art deep learning model capable of generating [specific type of content - text/images/audio/etc]. Built on [framework - PyTorch/TensorFlow/etc], it leverages recent advancements in [specific techniques - transformer architectures/GANs/etc] to produce high-quality outputs with minimal computational resources.\n\n![Generative AI Model Architecture](assets/images/architecture.png)\n\n### Key Features\n- High-quality content generation with fine-tuned control parameters\n- Efficient implementation optimized for both training and inference\n- Comprehensive evaluation metrics to assess generation quality\n- Scalable architecture that can be deployed in various environments\n- Easy-to-use API for integration into other applications\n\n### Technical Stack\n- [List key libraries/frameworks used]\n- [Mention any novel techniques implemented]\n- [Note any specific architectural decisions]\n\n### Use Cases\n- [Primary use case]\n- [Secondary use case]\n- [Additional applications]\n\n### Project Status\nThis project is currently in [development/beta/production] stage. [Optional: mention roadmap or upcoming features]\n\n## Project Structure\n\n```\ngenerative_ai_project/\n├── configs/            # Configuration files\n├── data/               # Data directory\n│   ├── raw/            # Raw, immutable data\n│   └── processed/      # Processed data, ready for training\n├── docs/               # Documentation\n├── notebooks/          # Jupyter notebooks for exploration and visualization\n├── src/                # Source code\n│   ├── data/           # Data processing scripts\n│   ├── models/         # Model architecture definitions\n│   ├── training/       # Training scripts\n│   ├── evaluation/     # Evaluation scripts\n│   └── inference/      # Inference and serving code\n└── tests/              # Unit tests\n```\n\n## Setup\n\n1. Clone the repository\n2. Install the dependencies:\n```bash\npip install -r requirements.txt\n```\n\n3. Configure the project by editing the configuration files in the `configs/` directory\n\n## Usage\n\n### Data Preparation\n\n```bash\npython src/data/preprocess.py --config configs/data_config.yaml\n```\n\n### Model Training\n\n```bash\npython src/training/train.py --config configs/training_config.yaml\n```\n\n### Evaluation\n\n```bash\npython src/evaluation/evaluate.py --model_path models/model.pt --test_data data/processed/test.csv\n```\n\n### Inference\n\n```bash\npython src/inference/predict.py --model_path models/model.pt --input \"Your input text here\"\n```\n\n## License\n\nThis project is licensed under the MIT License - see the LICENSE file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuyduc1602%2Fgenerative_ai_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhuyduc1602%2Fgenerative_ai_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuyduc1602%2Fgenerative_ai_project/lists"}