khuyentran1401 / prefect-docker

Related projects ⓘ

Alternatives and complementary repositories for prefect-docker

• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆39Updated last year
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated last year
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆64Updated 9 months ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 2 years ago
• khuyentran1401 / prefect-dvc
  ☆23Updated 2 years ago
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆17Updated 8 months ago
• khuyentran1401 / analyze_github_feed
  Create a local dashboard to visualize and filter your GitHub feed
  ☆29Updated 2 years ago
• elleobrien / automatic_testing
  ☆21Updated last year
• khuyentran1401 / prefect2-mlops-demo
  Demo on how to use Prefect 2 in an ML project
  ☆40Updated 2 years ago
• khuyentran1401 / pretty-print-confusion-matrix
  Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
  ☆19Updated 3 years ago
• massi82 / multi-armed-bandit
  ☆11Updated last year
• evidentlyai / community-examples
  Examples of using Evidently to evaluate, test and monitor ML models.
  ☆18Updated this week
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆36Updated 2 months ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• kylegallatin / recsim
  A framework for simulating e-commerce data and interactions that can be used to build recommendation systems
  ☆10Updated 11 months ago
• smazzanti / tds_you_dont_need_statistics_to_run_experiments
  ☆13Updated 4 months ago
• opeyemibami / TDD-in-MLOps
  This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…
  ☆14Updated 3 years ago
• ploomber / projects
  Sample projects using Ploomber.
  ☆83Updated 9 months ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 3 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆50Updated 2 months ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated last year
• khuyentran1401 / prefect-mlops-recipes
  Tutorials/use cases of using Prefect in an ML project.
  ☆40Updated last year
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆82Updated last year
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• thejat / mlops-notebooks
  ☆64Updated 2 months ago
• BennyJW / prefect2-docker-gce
  A very simple "hello world" project for deploying Prefect 2 to a docker container on Google Compute Engine.
  ☆11Updated 2 years ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆48Updated 2 years ago
• kuutsav / mlops
  Template for data pipelines, ML workflows, API dev and monitoring
  ☆45Updated 10 months ago