Alternatives and similar repositories for mlops-roadmap

Users that are interested in mlops-roadmap are comparing it to the libraries listed below

• aronchick / kubeflow-and-mlops
  ☆28Updated 6 years ago
• dmatrix / ray-core-tutorial
  Introduction to Ray Core Design Patterns and APIs.
  ☆74Updated 2 years ago
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆206Updated 3 years ago
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆142Updated last year
• awslabs / sagemaker-debugger
  Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
  ☆165Updated last year
• CognonicLabs / awesome-AI-kubernetes
  Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing …
  ☆142Updated last year
• dwhitena / oreilly-ai-k8s-tutorial
  Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018
  ☆65Updated 7 years ago
• nocomplexity / FreeAndOpenMachineLearning
  This project is created to promote and advocate the use of FOSS machine learning.
  ☆47Updated 2 weeks ago
• Klalena / AWS-Serverless-Data-Engineering-Pipeline
  This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…
  ☆21Updated 4 years ago
• EthicalML / state-of-mlops-2020
  ☆59Updated 4 years ago
• the-full-stack / conda-piptools
  Quick demo of setting up a deep learning Python environment using conda and pip-tools.
  ☆39Updated 5 years ago
• shashankprasanna / kubeflow-pipelines-sagemaker-examples
  Examples for using Amazon SageMaker components in Kubeflow Pipelines
  ☆22Updated 5 years ago
• kubeflow / code-intelligence
  ML-Powered Developer Tools, using Kubeflow
  ☆55Updated 4 years ago
• awsdocs / aws-deep-learning-amis
  This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud
  ☆45Updated 2 years ago
• jacopotagliabue / FREE_7773
  Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
  ☆97Updated 3 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆91Updated 3 years ago
• awslabs / mlmax
  Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…
  ☆74Updated last year
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆186Updated last year
• yu-iskw / google-cloud-deep-learning-kit
  Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker
  ☆39Updated 7 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• aronchick / MLOps-pipeline
  ☆18Updated 6 years ago
• aws / sagemaker-tensorflow-extensions
  SageMaker specific extensions to TensorFlow.
  ☆54Updated last year
• sbalnojan / cd4ml-example
  A CD4ML Example Setup on AWS S3, GitLab with DVC
  ☆24Updated 3 years ago
• EricSchles / datascience_book
  ☆134Updated last year
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• PacktPublishing / Learn-Amazon-SageMaker
  Learn Amazon SageMaker
  ☆105Updated last month
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆17Updated 3 years ago
• aws-samples / aws-mlflow-sagemaker-cdk
  MLflow on AWS Fargate integrated with Amazon SageMaker.
  ☆27Updated last year
• NikeNano / kubeflow-github-action
  Repository for makeinga a GitHub Actions for deploying to Kubeflow.
  ☆35Updated 3 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆81Updated 6 years ago