khuyentran1401 / Machine-learning-pipeline
Example machine learning pipeline with MLflow and Hydra
☆88Updated 2 years ago
Alternatives and similar repositories for Machine-learning-pipeline:
Users that are interested in Machine-learning-pipeline are comparing it to the libraries listed below
- Serving TensorFlow models with TensorFlow Serving☆44Updated 3 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- Demo for CI/CD in a machine learning project☆104Updated last year
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆159Updated last year
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- MLOps hands-on notes, notebooks and scripts of months of learning☆24Updated 2 years ago
- ☆38Updated 2 years ago
- Production-Ready Applied Deep Learning☆89Updated last year
- A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.☆37Updated last year
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆145Updated last year
- Learn how to create reliable ML systems by testing code, data and models.☆86Updated 2 years ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆48Updated 3 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago
- Tutorials on creating a reproducible and maintainable data science project☆143Updated 2 years ago
- ☆14Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated last year
- Best practices for engineering ML pipelines.☆35Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆34Updated last year
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras☆44Updated 2 years ago
- 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…☆183Updated 3 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆182Updated 9 months ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆262Updated 2 years ago
- Metaflow tutorials for ODSC West 2021☆64Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 3 months ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆84Updated 2 years ago
- Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker☆102Updated 3 years ago
- ☆22Updated 2 years ago
- The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.☆52Updated 2 years ago