{"id":25945926,"url":"https://github.com/algoscienceacademy/cogenbai","last_synced_at":"2026-05-09T08:35:38.597Z","repository":{"id":276783902,"uuid":"930205408","full_name":"algoscienceacademy/cogenbai","owner":"algoscienceacademy","description":null,"archived":false,"fork":false,"pushed_at":"2025-02-10T11:47:21.000Z","size":22,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-10T12:36:10.931Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/algoscienceacademy.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}},"created_at":"2025-02-10T08:55:20.000Z","updated_at":"2025-02-10T11:47:24.000Z","dependencies_parsed_at":"2025-02-10T12:46:33.460Z","dependency_job_id":null,"html_url":"https://github.com/algoscienceacademy/cogenbai","commit_stats":null,"previous_names":["algoscienceacademy/cogenbai"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/algoscienceacademy%2Fcogenbai","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/algoscienceacademy%2Fcogenbai/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/algoscienceacademy%2Fcogenbai/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/algoscienceacademy%2Fcogenbai/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/algoscienceacademy","download_url":"https://codeload.github.com/algoscienceacademy/cogenbai/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241818844,"owners_count":20025212,"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":[],"created_at":"2025-03-04T09:19:24.084Z","updated_at":"2026-05-09T08:35:33.566Z","avatar_url":"https://github.com/algoscienceacademy.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# COGENBAI\n\nAn advanced AI model for coding experts, created by Algo Science Academy.\n\n## About\n\nCOGENBAI is developed by Algo Science Academy under the leadership of Shahrear Hossain Shawon,\na student at International Islamic University Chittagong. This cutting-edge AI model represents\na significant advancement in automated code generation and development assistance.\n\n## Organization\n\n- **Organization**: Algo Science Academy\n- **Lead Developer**: Shahrear Hossain Shawon\n- **Institution**: International Islamic University Chittagong\n- **Version**: 1.0.0\n\n## Features\n\n- Multi-language code generation\n- Framework and library integration\n- Complete software solutions\n- Custom framework creation\n- Real-time voiceover assistance\n- Cross-platform development support\n- Advanced debugging tools\n- Collaborative development features\n\n## Installation\n\n```bash\npip install cogenbai\n```\n\n## Usage\n\n```python\nfrom cogenbai import CogenBAI, VoiceSynthesizer\n\n# Initialize the model\nmodel = CogenBAI()\n\n# Generate code\ncode = model.generate_code(\n    prompt=\"Create a REST API endpoint in Python\",\n    language=\"python\"\n)\n\n# Use voice assistance\nvoice = VoiceSynthesizer()\nvoice.explain_code(code, \"This code creates a REST API endpoint using FastAPI\")\n```\n\n## API Usage\n\nStart the API server:\n```bash\nuvicorn cogenbai.api.server:app --reload\n```\n\nGenerate code via API:\n```bash\ncurl -X POST \"http://localhost:8000/generate\" \\\n     -H \"Content-Type: application/json\" \\\n     -d '{\"prompt\": \"Create a REST API endpoint\", \"language\": \"python\"}'\n```\n\nGet supported languages:\n```bash\ncurl \"http://localhost:8000/supported-languages\"\n```\n\n## CLI Usage\n\nGenerate code from command line:\n```bash\ncogenbai generate \"Create a REST API endpoint\" -l python -f fastapi\n```\n\nList supported languages:\n```bash\ncogenbai list-languages\n```\n\n## Project Scaffolding\n\nGenerate a new project structure:\n```bash\ncogenbai scaffold my-project -t python_project -d \"My awesome project\"\n```\n\n## Code Optimization\n\n```python\nfrom cogenbai.optimization import CodeOptimizer\n\noptimizer = CodeOptimizer()\noptimized_code = optimizer.optimize(code, \"python\")\ncomplexity = optimizer.analyze_complexity(code)\n```\n\n## Collaborative Development\n\nStart a collaborative session:\n```python\nimport asyncio\nfrom cogenbai import CogenBAI\nfrom cogenbai.collaboration import SessionManager\n\nasync def main():\n    session_manager = SessionManager()\n    session = await session_manager.create_session(\"session1\", \"user1\")\n    \n    # Join session\n    await session_manager.join_session(\"session1\", \"user2\")\n    \n    # Update code\n    await session_manager.update_code(\"session1\", \"print('Hello, World!')\")\n\nasyncio.run(main())\n```\n\nConnect to WebSocket for real-time updates:\n```javascript\nconst ws = new WebSocket('ws://localhost:8000/ws/session1/user1');\nws.onmessage = (event) =\u003e {\n    const data = JSON.parse(event.data);\n    if (data.type === 'code_update') {\n        console.log('Code updated:', data.code);\n    }\n};\n```\n\n## Code Review and Testing\n\nReview code quality:\n```python\nfrom cogenbai.review import CodeReviewAnalyzer\n\nreviewer = CodeReviewAnalyzer()\nresults = reviewer.review_code(code, \"python\")\nprint(f\"Code quality score: {results['complexity']['cyclomatic_complexity']}\")\n```\n\nGenerate tests:\n```python\nfrom cogenbai.testing import TestGenerator\n\ngenerator = TestGenerator()\ntest_code = generator.generate_tests(code, \"python\", \"unit\")\nprint(\"Generated test code:\", test_code)\n```\n\n## Hardware Requirements\n\n### Model Size Information\n- Model Parameters: 16 billion\n- Model Size (FP16): ~32GB\n- Model Size (FP32): ~64GB\n\n### Minimum Hardware Requirements\n- GPU Memory: 40GB (for FP16)\n- System RAM: 64GB recommended\n- Storage: 100GB free space\n\n### Recommended Hardware\n- GPU: NVIDIA A5000 (24GB) or better\n- GPU Memory: 48GB or more\n- System RAM: 128GB\n- Storage: 500GB NVMe SSD\n\n### Supported GPU Configurations\n1. Single GPU (High-end):\n   - NVIDIA A6000 (48GB)\n   - NVIDIA A100 (80GB)\n\n2. Multi-GPU Setup:\n   - 2x NVIDIA RTX 4090 (24GB each)\n   - 2x NVIDIA A5000 (24GB each)\n\n### Memory Optimization Options\n1. FP16 Precision (Default)\n   - Model Size: ~32GB\n   - Working Memory: ~8GB\n   - Total Required: ~40GB\n\n2. 8-bit Quantization\n   - Model Size: ~16GB\n   - Working Memory: ~4GB\n   - Total Required: ~20GB\n\n3. 4-bit Quantization\n   - Model Size: ~8GB\n   - Working Memory: ~2GB\n   - Total Required: ~10GB\n\n## Pushing to Ollama Registry\n\n### 1. Find Your Ollama Public Key\n\nLocate your public key based on your operating system:\n\n- **Windows**: `C:\\Users\\\u003cusername\u003e\\.ollama\\id_ed25519.pub`\n- **macOS**: `~/.ollama/id_ed25519.pub`\n- **Linux**: `/usr/share/ollama/.ollama/id_ed25519.pub`\n\n### 2. Configure Registry Access\n\n1. Copy your public key\n2. Add it to [Ollama Registry Settings](https://ollama.com/settings)\n\n### 3. Push the Model\n\n#### Option 1: Create and Push New Model\n```bash\n# Pull base model\nollama pull llama3.2\n\n# Create Modelfile\ncat \u003c\u003c EOF \u003e Modelfile\nFROM llama3.2\nPARAMETER temperature 0.7\nPARAMETER top_p 0.95\nSYSTEM \"\"\"\nYou are COGENBAI, an advanced code generation AI.\nFocus: Code generation and software development assistance\nCreated by: Shahrear Hossain Shawon\nOrganization: Algo Science Academy\n\"\"\"\nEOF\n\n# Create and push model\nollama create -f Modelfile algoscienceacademy/cogenbai\nollama push algoscienceacademy/cogenbai\n```\n\n#### Option 2: Push Existing Model\n```bash\nollama cp llama3.2 algoscienceacademy/cogenbai\nollama push algoscienceacademy/cogenbai\n```\n\n## Usage\n\n```bash\nollama run algoscienceacademy/cogenbai\n```\n\nFor detailed build and deployment instructions, see [BUILD.md](BUILD.md).\n\n## License\n\nCopyright (c) 2024 Algo Science Academy. All rights reserved.\n\n## Contact\n\nFor inquiries and collaboration opportunities:\n- Organization: Algo Science Academy\n- Lead Developer: Shahrear Hossain Shawon\n- Email: contact@algoscienceacademy.com\n- Website: https://algoscienceacademy.com\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falgoscienceacademy%2Fcogenbai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falgoscienceacademy%2Fcogenbai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falgoscienceacademy%2Fcogenbai/lists"}