Alternatives and similar repositories for building-machine-learning-pipelines:

Users that are interested in building-machine-learning-pipelines are comparing it to the libraries listed below

• intro-to-ml-with-kubeflow / intro-to-ml-with-kubeflow-examples
  [WIP] Examples for the Intro to ML with Kubeflow book
  ☆204Updated 2 years ago
• GoogleCloudPlatform / mlops-on-gcp
  ☆805Updated 3 months ago
• AlexIoannides / kubernetes-mlops
  MLOps tutorial using Python, Docker and Kubernetes.
  ☆385Updated 5 months ago
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆605Updated 2 years ago
• hundredblocks / ml-powered-applications
  Companion repository for the book Building Machine Learning Powered Applications
  ☆671Updated last year
• cdfoundation / sig-mlops
  CDF SIG MLOps
  ☆615Updated 3 months ago
• GoogleCloudPlatform / mlops-with-vertex-ai
  An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
  ☆371Updated 10 months ago
• GoogleCloudPlatform / ai-platform-samples
  Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/Goo…
  ☆463Updated 2 years ago
• GoogleCloudPlatform / ml-design-patterns
  Source code accompanying O'Reilly book: Machine Learning Design Patterns
  ☆1,944Updated 3 years ago
• paiml / practical-mlops-book
  [Book-2021] Practical MLOps O'Reilly Book
  ☆764Updated 2 months ago
• noahgift / Python-MLOps-Cookbook
  This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.
  ☆407Updated 2 months ago
• fuzzylabs / awesome-open-mlops
  The Fuzzy Labs guide to the universe of open source MLOps
  ☆459Updated 8 months ago
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆473Updated 2 years ago
• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆115Updated 8 months ago
• mlflow / mlflow-example
  An example MLflow project
  ☆252Updated 10 months ago
• dmatrix / mlflow-workshop-part-1
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …
  ☆236Updated 4 years ago
• thoughtworks / mlops-platforms
  Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
  ☆390Updated 2 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆134Updated last year
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆893Updated 3 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆145Updated 11 months ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆159Updated last year
• GoogleCloudPlatform / ml-on-gcp
  Machine Learning on Google Cloud Platform
  ☆493Updated 4 months ago
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆182Updated 2 years ago
• datarevenue-berlin / OpenMLOps
  ☆704Updated 2 years ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆126Updated 3 years ago
• amesar / mlflow-examples
  Basic and advanced MLflow examples for many ML flavors
  ☆220Updated 8 months ago
• ThoughtWorksInc / cd4ml-workshop
  Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshop…
  ☆318Updated 7 months ago
• trainindata / deploying-machine-learning-models
  Code for the online course "Deployment of Machine Learning Models"
  ☆825Updated 7 months ago
• tensorflow / cloud
  The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in …
  ☆378Updated last month
• trojrobert / MLOps_roadmap_and_curriculum
  Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…
  ☆182Updated 3 years ago