Alternatives and similar repositories for ml-pipeline-engineering

Users that are interested in ml-pipeline-engineering are comparing it to the libraries listed below

• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 4 months ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• deliveryhero / pyconde2019-airflow-ml-workshop
  PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.
  ☆47Updated last year
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 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
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years 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…
  ☆19Updated 4 years ago
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆64Updated 3 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• mlops-labs-team1 / engineering.labs
  The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info
  ☆16Updated 4 years ago
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 2 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• dipanjanS / low_code_machine_learning_pycaret_workshop_2022
  This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hand…
  ☆21Updated 2 years ago
• elleobrien / automatic_testing
  ☆21Updated last year
• MathiasGruber / ProofOfConcept_MLOps
  Example MLOps using BentoML & mlFlow
  ☆38Updated 4 years ago
• sejalv / serverless-ml-workshop
  Deployment of ML models with Serverless APIs (AWS Lambda) and Docker
  ☆24Updated 4 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 4 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆62Updated 2 years ago
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated last year
• arimbr / valohai-fasttext-example
  Production Machine Learning Pipeline for Text Classification with fastText
  ☆32Updated 3 years ago
• thejat / mlops-notebooks
  ☆65Updated last month
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago
• kuutsav / mlops
  Template for data pipelines, ML workflows, API dev and monitoring
  ☆45Updated last year
• AlexIoannides / notes-and-demos
  Study notes and demos.
  ☆12Updated last year
• dtriepke / nlp_model_selection_app
  ☆16Updated 4 years ago
• dair-ai / data_science_writing_primer
  Writing Primer for Data Scientists
  ☆18Updated 5 years ago