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
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated last year
- This Repository contains the material for the tutorial "Introduction to MLOps with MLflow" held at pyData/pyCon Berlin 2022.☆22Updated 3 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆151Updated last year
- 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
- 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
- Streamline scikit-learn model comparison.☆143Updated 2 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆264Updated 3 years ago
- Explore and compare 1K+ accurate decision trees in your browser!☆169Updated last year
- Introduction to Ray Core Design Patterns and APIs.☆74Updated last year
- ☆30Updated 2 years ago
- Joining the modern data stack with the modern ML stack☆201Updated 2 years ago
- Plugins, extensions, case studies, articles, and video tutorials for Kedro☆90Updated 11 months ago
- An abstraction layer for parameter tuning☆35Updated last week
- Decorators that logs stats.☆115Updated 8 months ago
- Start a data science project with modern tools☆203Updated 2 years ago
- A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…☆119Updated 3 years ago
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.☆133Updated last year
- A repository that showcases how you can use ZenML with Git☆71Updated 3 months ago
- skops is a Python library helping you share your scikit-learn based models and put them in production☆501Updated last week
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated last year
- First-party plugins maintained by the Kedro team.☆109Updated this week
- An example MLFlow project☆49Updated 10 months ago
- A work in progress to build out solutions in Rust for MLOPs☆154Updated 10 months ago
- The easiest way to integrate Kedro and Great Expectations☆54Updated 2 years ago
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…☆114Updated last week
- HiPlot fetcher for experiments logged with MLflow☆14Updated 3 years ago