Alternatives and similar repositories for end-to-end-ml-workshop:

Users that are interested in end-to-end-ml-workshop are comparing it to the libraries listed below

• puneet-jain159 / DSS_LLM_QA_Retrieval_Session
  ☆13Updated last year
• renardeinside / e2e-mlops-demo
  E2E MLOps with Databricks
  ☆14Updated 5 months ago
• djliden / llmops-examples
  Example code and notebooks related to mlflow, llmops, etc.
  ☆42Updated 9 months ago
• smellslikeml / distributed-deep-learning-workshop
  ☆13Updated 2 years ago
• PacktPublishing / Generative-AI-with-Amazon-Bedrock
  Generative AI with Amazon Bedrock, published by Packt
  ☆24Updated 8 months ago
• aws-samples / sagemaker-studio-emr
  ☆33Updated last year
• aws-samples / aws-mlops-pipelines-terraform
  MLOps on AWS using Amazon SageMaker Pipelines
  ☆31Updated 2 years ago
• sinanuozdemir / oreilly-ai-pipelines
  Designing and Deploying LLM Pipelines
  ☆34Updated 3 weeks ago
• aws-samples / amazon-sagemaker-ab-testing-pipeline
  Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.
  ☆44Updated 3 years ago
• aws / amazon-sagemaker-examples-community
  ☆36Updated 2 months ago
• SaschaDittmann / MLOps-Lab
  This repository contains sample code, which is used for a MLOps Workshop
  ☆26Updated last year
• mshtelma / databricks-llm-fine-tuning
  ☆16Updated last year
• mlflow / mlp-regression-template
  Example repo to kickstart integration with mlflow pipelines.
  ☆76Updated 2 years ago
• aws-samples / mlops-e2e
  MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
  ☆140Updated 2 weeks ago
• mlrun / demo-github-actions
  demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions
  ☆50Updated 2 years ago
• mlrun / demo-llm-tuning
  Demo MLRun project for LLM Tuning and serving pipelines
  ☆41Updated 8 months ago
• aws-samples / Mistral-7B-Instruct-fine-tune-and-deploy-on-SageMaker
  ☆18Updated 2 months ago
• santiagxf / mlflow-deployments
  Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily de…
  ☆16Updated last year
• aws-samples / amazon-sagemaker-automatic-deploy-mlflow-model
  ☆25Updated last year
• AnastasiaProkaieva / MlFlow_Foundational_Training
  Foundational Training on MlFlow and Data Science on Databricks.
  ☆17Updated 2 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 years ago
• aws-samples / mlops-sagemaker-github-actions
  MLOps example using Amazon SageMaker Pipeline and GitHub Actions
  ☆77Updated 11 months ago
• PacktPublishing / Databricks-ML-In-Action
  Databricks ML in Action, Published by Packt
  ☆30Updated 11 months ago
• Arize-ai / client_python
  A python library to send data to Arize AI!
  ☆50Updated this week
• PacktPublishing / Automated-Machine-Learning-on-AWS
  Automated Machine Learning on AWS, published by Packt
  ☆45Updated last year
• PacktPublishing / Essential-PySpark-for-Scalable-Data-Analytics
  Essential PySpark for Scalable Data Analytics, published by Packt
  ☆44Updated 2 years ago
• chengyin38 / dais_2021_drifting_away
  ☆15Updated 3 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆56Updated 2 years ago
• On-car / spotify-end-to-end-data-engineering--project
  Integrating with Spotify API and extracting Data. Deploying code on AWS Lambda for Data Extraction. Adding trigger to run the extraction …
  ☆10Updated last year
• aws-samples / sagemaker-studio-mlflow-integration
  ☆30Updated 9 months ago