dmatrix / ray-core-serve-tutorial-mlopsLinks
A two part tutorial for Ray Core APIs and Ray Serve for Model Deployment
☆21Updated 3 years ago
Alternatives and similar repositories for ray-core-serve-tutorial-mlops
Users that are interested in ray-core-serve-tutorial-mlops are comparing it to the libraries listed below
Sorting:
- Example code and notebooks related to mlflow, llmops, etc.☆43Updated last year
- Test LLMs automatically with Giskard and CI/CD☆31Updated last year
- Fine-tune an LLM to perform batch inference and online serving.☆113Updated 5 months ago
- A collection of fine-tuning notebooks!☆29Updated 2 years ago
- ☆89Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆41Updated last month
- Awesome MLOps Course Outline☆36Updated 2 years ago
- a distributed end-to-end image classification system using kubernetes☆13Updated 10 months ago
- Demo MLRun project for LLM Tuning and serving pipelines☆45Updated 5 months ago
- "1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data…☆49Updated last year
- A Hands-on Practical Guide to LlamaIndex☆33Updated last year
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last week
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 10 months ago
- 💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML☆139Updated 8 months ago
- This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…☆26Updated 8 months ago
- ☆15Updated last year
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆134Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last week
- Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques☆78Updated 9 months ago
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)☆145Updated 2 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 3 years ago
- This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.☆221Updated 3 years ago
- Production-Ready Applied Deep Learning☆91Updated last week
- Material for the series of seminars on Large Language Models☆34Updated last year
- Experimentation on google's gemma model☆16Updated last year
- Machine Learning Engineer interview preparation. Brushing up Data Structures & Algorithms, System Design and SQL☆24Updated 4 years ago
- ☆15Updated 2 years ago
- This repository will contain the presentation and python jupyter notebooks for my DataHack Summit 2025 conference talk, Building Effectiv…☆71Updated 2 months ago
- serving a torch model using Celery, Redis and RabbitMQ to serve users asynchronously☆25Updated last year