Alternatives and similar repositories for distributed-ml-patterns

Users that are interested in distributed-ml-patterns 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 3 years ago
• ray-project / ray-educational-materials
  This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.
  ☆400Updated last year
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆404Updated 2 years ago
• mlops-discord / gpu-optimization-workshop
  Slides, notes, and materials for the workshop
  ☆325Updated 11 months ago
• maxpumperla / learning_ray
  Notebooks for the O'Reilly book "Learning Ray"
  ☆298Updated last year
• eugeneyan / ml-design-docs
  📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
  ☆599Updated 2 years ago
• thoughtworks / mlops-platforms
  Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
  ☆390Updated 2 years ago
• the-full-stack / fsdl-text-recognizer-2022-labs
  Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…
  ☆470Updated last year
• stanford-cs329s / stanford-cs329s.github.io
  ☆43Updated 2 years ago
• fuzzylabs / awesome-open-mlops
  The Fuzzy Labs guide to the universe of open source MLOps
  ☆461Updated 9 months ago
• paiml / practical-mlops-book
  [Book-2021] Practical MLOps O'Reilly Book
  ☆784Updated 4 months ago
• cdfoundation / sig-mlops
  CDF SIG MLOps
  ☆622Updated 5 months ago
• mlops-discord / dmls-bookclub
  ☆74Updated 10 months ago
• aporia-ai / mlplatform-workshop
  🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more
  ☆440Updated 3 years ago
• leehanchung / awesome-full-stack-machine-learning-courses
  Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
  ☆463Updated last year
• dmatrix / ray-core-tutorial
  Introduction to Ray Core Design Patterns and APIs.
  ☆68Updated last year
• orca3 / MiniAutoML
  Source code for "Enginneering Deep Learning Platforms"
  ☆52Updated last week
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆186Updated last year
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆255Updated 7 months ago
• 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
  ☆80Updated last year
• 1duo / awesome-ai-infrastructures
  Infrastructures™ for Machine Learning Training/Inference in Production.
  ☆415Updated 5 years ago
• AlexIoannides / kubernetes-mlops
  MLOps tutorial using Python, Docker and Kubernetes.
  ☆393Updated 6 months ago
• vsmolyakov / ml_algo_in_depth
  ML algorithms in depth
  ☆241Updated 7 months ago
• GokuMohandas / data-engineering
  Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
  ☆213Updated 2 years ago
• feast-dev / feast-workshop
  A workshop with several modules to help learn Feast, an open-source feature store
  ☆91Updated 4 months ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆898Updated 3 years ago
• Building-ML-Pipelines / building-machine-learning-pipelines
  Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
  ☆594Updated 2 years ago
• 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…
  ☆183Updated 3 years ago
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆199Updated 11 months ago
• jacopotagliabue / post-modern-stack
  Joining the modern data stack with the modern ML stack
  ☆197Updated last year