anyscale / Made-With-ML
β27Updated last year
Alternatives and similar repositories for Made-With-ML:
Users that are interested in Made-With-ML are comparing it to the libraries listed below
- Distributed skorch on Ray Trainβ57Updated 2 years ago
- A project between Anyscale and deepsense.ai implementing a cross-modal search application for e-commerceβ13Updated 9 months ago
- π² A curated list of MLOps projects, tools and resourcesβ186Updated 11 months ago
- A repository that showcases how you can use ZenML with Gitβ69Updated 7 months ago
- π Stream inferences of real-time ML models in production to any data lake (Experimental)β80Updated 2 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.β37Updated 4 years ago
- Joining the modern data stack with the modern ML stackβ196Updated last year
- β23Updated last month
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.β56Updated 2 years ago
- ByteHub: making feature stores simpleβ60Updated 3 years ago
- Distributed XGBoost on Rayβ147Updated 8 months ago
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.β30Updated 2 years ago
- Serverless Python with Rayβ55Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.β86Updated 2 years ago
- The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more infoβ16Updated 4 years ago
- Metadata store for Production MLβ89Updated 2 years ago
- Framework for building and maintaining self-updating prompts for LLMsβ61Updated 9 months ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β254Updated 5 months ago
- End-to-End LLM Guideβ104Updated 8 months ago
- β85Updated last year
- Listens MLFlow model registry changes and deploy models based on configurationsβ21Updated last year
- Codes, scripts, and notebooks on various aspects of transformer models.β27Updated 2 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).β96Updated 2 years ago
- MLOps Cookiecutter Template: A Base Project Structure for Secure Production ML Engineeringβ40Updated 4 months ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profilβ¦β74Updated 10 months ago
- βοΈ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.β45Updated last week
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.β82Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.β40Updated 2 months ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflowβ237Updated last year
- Best practices for engineering ML pipelines.β37Updated 2 years ago