Alternatives and similar repositories for Made-With-ML

Users that are interested in Made-With-ML are comparing it to the libraries listed below

• jacopotagliabue / post-modern-stack
  Joining the modern data stack with the modern ML stack
  ☆201Updated 2 years ago
• rocket9-code / mlflow-deployment-controller
  Listens MLFlow model registry changes and deploy models based on configurations
  ☆20Updated 2 years ago
• jacopotagliabue / recs-at-resonable-scale
  Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
  ☆241Updated 2 years ago
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆53Updated 2 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆91Updated 3 years ago
• loglabs / mltrace
  Coarse-grained lineage and tracing for machine learning pipelines.
  ☆471Updated 3 years ago
• dmatrix / ray-core-tutorial
  Introduction to Ray Core Design Patterns and APIs.
  ☆74Updated 2 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆73Updated 2 weeks ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆152Updated last year
• modzy / model-deployment-checklist
  An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.
  ☆30Updated 3 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆151Updated last year
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆186Updated last year
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆184Updated last year
• eugeneyan / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆265Updated 3 years ago
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆59Updated 3 years ago
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆256Updated last year
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆206Updated 3 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆116Updated 2 years ago
• jacopotagliabue / FREE_7773
  Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
  ☆97Updated 3 years ago
• artefactory / one-click-mlflow
  A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
  ☆72Updated 8 months ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆210Updated 4 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 4 years ago
• operatorai / modelstore
  🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…
  ☆398Updated last year
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last year
• adriangonz / mlflow-talk
  End to End example integrating MLFlow and Seldon Core
  ☆51Updated 5 years ago
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆215Updated 2 months ago
• unionai-oss / llm-fine-tuning
  Fine-tuning LLMs on Flyte and Union Cloud
  ☆30Updated 2 years ago
• hamelsmu / wandb-cicd
  ☆48Updated 2 years ago