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

• Paulescu / testing-llms-in-the-real-world
  Test LLMs automatically with Giskard and CI/CD
  ☆31Updated last year
• djliden / llmops-examples
  Example code and notebooks related to mlflow, llmops, etc.
  ☆43Updated last year
• mlrun / demo-llm-tuning
  Demo MLRun project for LLM Tuning and serving pipelines
  ☆45Updated 6 months ago
• anyscale / e2e-llm-workflows
  Fine-tune an LLM to perform batch inference and online serving.
  ☆115Updated 6 months ago
• sayakpaul / ml-deployment-k8s-fastapi
  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
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 11 months ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated last month
• anyscale / ray-summit-2023-training
  ☆89Updated 2 years ago
• primaprashant / llms-in-production
  📚 Curated collection of engineering blogs detailing real-world applications of LLMs in solving specific business problems.
  ☆102Updated 3 months ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆92Updated 3 years ago
• evidentlyai / community-examples
  Examples of using Evidently to evaluate, test and monitor ML models.
  ☆43Updated last week
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 3 years ago
• AI-Maker-Space / Chainlit-Event-AIM
  A Chainlit App Used to Showcase: Async, Caching, Additional Chainlit Methods, and more!
  ☆11Updated last year
• infocusp / llm_seminar_series
  Material for the series of seminars on Large Language Models
  ☆34Updated last year
• zenml-io / zenbytes
  A simple guide to MLOps through ZenML and its various integrations.
  ☆188Updated last year
• AI-Maker-Space / Fine-tuning-LLM-Resources
  A collection of fine-tuning notebooks!
  ☆29Updated 2 years ago
• srivatsan88 / ContinousModelDeploy
  This is code depository for my upcoming session. Will update details post the session
  ☆40Updated 2 years ago
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆91Updated last month
• the-full-stack / fsdl-text-recognizer-2022
  Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
  ☆83Updated last year
• wenqiglantz / hands-on-llamaindex
  A Hands-on Practical Guide to LlamaIndex
  ☆33Updated last year
• iterative / magnetic-tiles-defect
  Demo Computer Vision Project
  ☆65Updated 2 years ago
• BBischof / ESRecsys
  Effective and Scalable Recommendation Systems
  ☆60Updated last year
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆88Updated 3 years ago
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆79Updated 2 years ago
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆134Updated 2 years ago
• decodingai-magazine / articles-code
  💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML
  ☆139Updated 9 months ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆104Updated 2 years ago
• elleobrien / automatic_testing
  ☆21Updated 2 years ago
• khuyentran1401 / prefect-dvc
  ☆23Updated 3 years ago
• mlops-guide / dvc-gitactions
  Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…
  ☆49Updated 4 years ago