Alternatives and similar repositories for Machine-learning-pipeline

Users that are interested in Machine-learning-pipeline are comparing it to the libraries listed below

• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆116Updated 2 years ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 3 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆163Updated last month
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆91Updated last month
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆43Updated 3 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 / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆265Updated 3 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆43Updated 4 years ago
• iterative / magnetic-tiles-defect
  Demo Computer Vision Project
  ☆65Updated 2 years ago
• thejat / mlops-notebooks
  ☆66Updated 8 months ago
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆149Updated 3 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated last month
• amesar / mlflow-examples
  Basic and advanced MLflow examples for many ML flavors
  ☆242Updated last year
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆116Updated 2 years ago
• kaislar / ds_template
  ☆37Updated 3 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆91Updated 3 years ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆134Updated 4 years ago
• hamedonline / ml-workflow
  A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.
  ☆38Updated 2 years ago
• zenml-io / zenbytes
  A simple guide to MLOps through ZenML and its various integrations.
  ☆188Updated last year
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆135Updated last year
• trojrobert / MLOps_roadmap_and_curriculum
  Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…
  ☆184Updated 3 years ago
• jeremyjordan / ml-monitoring
  A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.
  ☆233Updated last year
• arnabbiswas1 / kaggle_pipeline_tps_aug_22
  Kaggle Pipeline for tabular data competitions
  ☆205Updated last year
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆270Updated 4 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆184Updated last year
• ming0070913 / example-ml-project
  Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker
  ☆105Updated 4 years ago
• khuyentran1401 / employee-future-prediction
  Demo for Using GitHub Actions in MLOps
  ☆40Updated 3 years ago
• mlops-guide / dvc-gitactions
  Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…
  ☆49Updated 4 years ago
• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆121Updated last month