{"id":24625340,"url":"https://github.com/bjornmelin/ml-production-engineering","last_synced_at":"2026-04-17T15:06:12.668Z","repository":{"id":274049187,"uuid":"921749122","full_name":"BjornMelin/ml-production-engineering","owner":"BjornMelin","description":"⚙️ End-to-end ML deployment solutions. Focused on model serving, multi-GPU optimization, and production-grade system implementation. 🎯","archived":false,"fork":false,"pushed_at":"2025-01-24T14:45:40.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-24T15:32:17.748Z","etag":null,"topics":["cuda","deployment","docker","fastapi","gpu-computing","kubernetes","mlops","production"],"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/BjornMelin.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}},"created_at":"2025-01-24T14:43:01.000Z","updated_at":"2025-01-24T14:45:44.000Z","dependencies_parsed_at":"2025-01-24T15:42:41.832Z","dependency_job_id":null,"html_url":"https://github.com/BjornMelin/ml-production-engineering","commit_stats":null,"previous_names":["bjornmelin/ml-production-engineering"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BjornMelin%2Fml-production-engineering","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BjornMelin%2Fml-production-engineering/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BjornMelin%2Fml-production-engineering/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BjornMelin%2Fml-production-engineering/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BjornMelin","download_url":"https://codeload.github.com/BjornMelin/ml-production-engineering/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244394468,"owners_count":20445634,"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":["cuda","deployment","docker","fastapi","gpu-computing","kubernetes","mlops","production"],"created_at":"2025-01-25T04:33:01.953Z","updated_at":"2026-04-17T15:06:12.600Z","avatar_url":"https://github.com/BjornMelin.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# ML Production Engineering ⚙️\n\n[![Python](https://img.shields.io/badge/python-3.8%2B-blue.svg)](https://www.python.org/downloads/)\n[![ONNX](https://img.shields.io/badge/onnx-1.15%2B-orange.svg)](https://onnx.ai)\n[![Docker](https://img.shields.io/badge/docker-24.0%2B-blue.svg)](https://www.docker.com/)\n[![CUDA](https://img.shields.io/badge/cuda-11.8%2B-green.svg)](https://developer.nvidia.com/cuda-toolkit)\n[![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)\n\n\u003e End-to-end machine learning deployment and optimization solutions. Focused on model serving, optimization, and production-grade ML system implementation.\n\n[Features](#features) • [Installation](#installation) • [Quick Start](#quick-start) • [Documentation](#documentation) • [Contributing](#contributing)\n\n## 📑 Table of Contents\n- [Features](#features)\n- [Project Structure](#project-structure)\n- [Prerequisites](#prerequisites)\n- [Installation](#installation)\n- [Quick Start](#quick-start)\n- [Documentation](#documentation)\n  - [Deployment](#deployment)\n  - [Optimization](#optimization)\n  - [Benchmarks](#benchmarks)\n- [Contributing](#contributing)\n- [Versioning](#versioning)\n- [Authors](#authors)\n- [Citation](#citation)\n- [License](#license)\n- [Acknowledgments](#acknowledgments)\n\n## ✨ Features\n- Model optimization and quantization\n- Containerized deployment\n- Multi-GPU serving strategies\n- A/B testing infrastructure\n- Monitoring and observability\n\n## 📁 Project Structure\n\n```mermaid\ngraph TD\n    A[ml-production-engineering] --\u003e B[serving]\n    A --\u003e C[optimization]\n    A --\u003e D[monitoring]\n    A --\u003e E[deployment]\n    B --\u003e F[endpoints]\n    B --\u003e G[scaling]\n    C --\u003e H[quantization]\n    C --\u003e I[compression]\n    D --\u003e J[metrics]\n    D --\u003e K[alerts]\n    E --\u003e L[containers]\n    E --\u003e M[orchestration]\n```\n\n\u003cdetails\u003e\n\u003csummary\u003eClick to expand full directory structure\u003c/summary\u003e\n\n```plaintext\nml-production-engineering/\n├── serving/           # Model serving components\n│   ├── endpoints/    # API endpoints\n│   └── scaling/      # Scaling utilities\n├── optimization/     # Model optimization\n│   ├── quantization/ # Model quantization\n│   └── compression/  # Model compression\n├── monitoring/       # Monitoring tools\n├── deployment/       # Deployment configs\n├── tests/           # Unit tests\n└── README.md        # Documentation\n```\n\u003c/details\u003e\n\n## 🔧 Prerequisites\n- Python 3.8+\n- CUDA 11.8+\n- Docker 24.0+\n- Kubernetes 1.24+\n- NVIDIA GPU (Compute Capability 6.0+)\n\n## 📦 Installation\n\n```bash\n# Clone repository\ngit clone https://github.com/BjornMelin/ml-production-engineering.git\ncd ml-production-engineering\n\n# Create environment\npython -m venv venv\nsource venv/bin/activate\n\n# Install dependencies\npip install -r requirements.txt\n```\n\n## 🚀 Quick Start\n\n```python\nfrom mlprod import optimization, serving\n\n# Optimize model\noptimized_model = optimization.quantize_model(\n    model,\n    backend=\"tensorrt\",\n    precision=\"fp16\"\n)\n\n# Deploy model\ndeployment = serving.ModelDeployment(\n    model=optimized_model,\n    scaling_config={\n        \"min_replicas\": 2,\n        \"max_replicas\": 10\n    }\n)\n\n# Launch service\ndeployment.deploy()\n```\n\n## 📚 Documentation\n\n### Deployment Patterns\n\n| Pattern | Use Case | Scalability | Complexity |\n|---------|----------|-------------|------------|\n| REST API | Online Inference | High | Low |\n| Batch Processing | Offline Inference | Very High | Medium |\n| Streaming | Real-time Processing | High | High |\n\n### Optimization Techniques\n- Model quantization (INT8/FP16)\n- Model pruning and distillation\n- TensorRT optimization\n- Batch inference optimization\n\n### Benchmarks\nProduction performance metrics:\n\n| Metric | Value | Environment | Load |\n|--------|-------|-------------|------|\n| Latency P95 | 25ms | K8s + GPU | 1000 RPS |\n| Throughput | 5000 RPS | Auto-scaled | Peak |\n| Memory Usage | 4GB/pod | Optimized | Steady |\n\n## 🤝 Contributing\n- [Contributing Guidelines](CONTRIBUTING.md)\n- [Code of Conduct](CODE_OF_CONDUCT.md)\n- [Development Guide](DEVELOPMENT.md)\n\n## 📌 Versioning\nWe use [SemVer](http://semver.org/) for versioning. For available versions, see the [tags on this repository](https://github.com/BjornMelin/ml-production-engineering/tags).\n\n## ✍️ Authors\n**Bjorn Melin**\n- GitHub: [@BjornMelin](https://github.com/BjornMelin)\n- LinkedIn: [Bjorn Melin](https://linkedin.com/in/bjorn-melin)\n\n## 📝 Citation\n```bibtex\n@misc{melin2024mlproductionengineering,\n  author = {Melin, Bjorn},\n  title = {ML Production Engineering: Production-Grade ML Systems},\n  year = {2024},\n  publisher = {GitHub},\n  url = {https://github.com/BjornMelin/ml-production-engineering}\n}\n```\n\n## 📄 License\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## 🙏 Acknowledgments\n- ONNX community\n- TensorRT team\n- Kubernetes community\n\n---\nMade with ⚙️ and ❤️ by Bjorn Melin\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbjornmelin%2Fml-production-engineering","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbjornmelin%2Fml-production-engineering","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbjornmelin%2Fml-production-engineering/lists"}