hackalog / make_better_defaultsLinks
Improving your data science workflows with "make". A Pydata Global 2021 Talk
☆34Updated 3 years ago
Alternatives and similar repositories for make_better_defaults
Users that are interested in make_better_defaults are comparing it to the libraries listed below
Sorting:
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- It's all in the name☆81Updated 2 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and …☆40Updated 3 years ago
- Explore and compare 1K+ accurate decision trees in your browser!☆168Updated last year
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆49Updated 3 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆149Updated last year
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- First-party plugins maintained by the Kedro team.☆106Updated this week
- Sensible multi-core apply function for Pandas☆88Updated this week
- Joining the modern data stack with the modern ML stack☆199Updated 2 years ago
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.☆132Updated last year
- Streamline scikit-learn model comparison.☆143Updated 2 years ago
- Templates for your Kedro projects.☆79Updated this week
- ☆30Updated 2 years ago
- Start a data science project with modern tools☆201Updated 2 years ago
- Complementary code for blog posts☆24Updated 8 months ago
- This Repository contains the material for the tutorial "Introduction to MLOps with MLflow" held at pyData/pyCon Berlin 2022.☆23Updated 3 years ago
- ☆150Updated 2 years ago
- skops is a Python library helping you share your scikit-learn based models and put them in production☆499Updated last week
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- An example MLFlow project☆49Updated 8 months ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated 11 months ago
- Demo for CI/CD in a machine learning project☆112Updated 2 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated last year
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆55Updated 3 months ago
- An abstraction layer for parameter tuning☆35Updated last year
- A repository that showcases how you can use ZenML with Git☆70Updated 2 months ago
- Plugins, extensions, case studies, articles, and video tutorials for Kedro☆88Updated 9 months ago
- Tutorials on creating a reproducible and maintainable data science project☆148Updated 3 years ago