anyscale / Made-With-ML

Related projects ⓘ

Alternatives and complementary repositories for Made-With-ML

• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 3 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆65Updated 3 months ago
• evidentlyai / community-examples
  Examples of using Evidently to evaluate, test and monitor ML models.
  ☆18Updated this week
• mlops-discord / talks
  Slides and recordings of talks hosted by our community
  ☆18Updated 5 months ago
• mlops-labs-team1 / engineering.labs
  The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info
  ☆16Updated 3 years ago
• dm4ml / gate
  Drift detection module for machine learning pipelines.
  ☆21Updated last year
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆52Updated 2 years ago
• rocket9-code / mlflow-deployment-controller
  Listens MLFlow model registry changes and deploy models based on configurations
  ☆21Updated last year
• outerbounds / metaflow-ray
  ☆21Updated 3 weeks ago
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆44Updated last year
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆39Updated last year
• alex000kim / ML-Pipeline-With-DVC-SkyPilot-HuggingFace
  ☆14Updated last year
• iterative / example-get-started-experiments
  Get started DVC project
  ☆47Updated 4 months ago
• dm4ml / motion
  Framework for building and maintaining self-updating prompts for LLMs
  ☆59Updated 5 months ago
• modzy / model-deployment-checklist
  An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.
  ☆31Updated last year
• kylegallatin / recsim
  A framework for simulating e-commerce data and interactions that can be used to build recommendation systems
  ☆10Updated 11 months ago
• mlrun / storey
  real-time data + ML pipeline
  ☆54Updated this week
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆76Updated 2 years ago
• jacopotagliabue / post-modern-stack
  Joining the modern data stack with the modern ML stack
  ☆193Updated last year
• iterative / awesome-iterative-projects
  A list of projects relying on Iterative.AI tools to achieve awesomeness
  ☆65Updated 4 months ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆83Updated 2 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆26Updated 2 years ago
• ploomber / soopervisor
  ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.
  ☆45Updated 2 months ago
• outerbounds / terraform-aws-metaflow
  Deploy production-grade Metaflow cloud infrastructure on AWS
  ☆58Updated 3 months ago
• unionai-oss / llm-fine-tuning
  Fine-tuning LLMs on Flyte and Union Cloud
  ☆26Updated 11 months ago
• intuit / mlctl
  mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…
  ☆25Updated 3 years ago
• mymlops / airflow-mlflow
  MLOps stack example using Airflow, MLflow and other popular tools.
  ☆44Updated 2 years ago
• dmatrix / ray-core-tutorial
  Introduction to Ray Core Design Patterns and APIs.
  ☆61Updated 10 months ago
• layerai-archive / sdk
  Metadata store for Production ML
  ☆89Updated 2 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 2 years ago