Alternatives and similar repositories for dtc-workshop

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

• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 2 years ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆115Updated 2 years ago
• thejat / mlops-notebooks
  ☆66Updated 7 months ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 10 months ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆43Updated 4 years ago
• noahgift / mlops-duke-aipi
  Syllabus for Artificial Intelligence for Product Innovation Master of Engineering: https://ai.meng.duke.edu/degree
  ☆32Updated 2 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆62Updated 3 years ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated 3 weeks ago
• kennethleungty / End-to-End-AutoML-Insurance
  An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
  ☆80Updated 3 years ago
• thejat / mlops-code-examples
  ☆24Updated 7 months ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆73Updated 3 weeks ago
• marvelousmlops / mlops_maturity_assessment
  MLOps maturity assessment
  ☆61Updated 2 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆72Updated 3 months ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆103Updated 2 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated 3 weeks ago
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆134Updated 2 years ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆132Updated 4 years ago
• Peco602 / maternal-health-risk
  Maternal Health Risk prediction MLOps pipeline
  ☆45Updated 2 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆151Updated last year
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆183Updated last year
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆49Updated 10 months ago
• khuyentran1401 / prefect-dvc
  ☆23Updated 3 years ago
• khuyentran1401 / employee-future-prediction
  Demo for Using GitHub Actions in MLOps
  ☆40Updated 3 years ago
• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆129Updated last year
• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆118Updated 3 weeks ago
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆95Updated 2 years ago
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆150Updated 3 years ago
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆24Updated 2 years ago
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆190Updated 3 weeks ago