Alternatives and similar repositories for pydataberlin-2022:

Users that are interested in pydataberlin-2022 are comparing it to the libraries listed below

• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• Galileo-Galilei / kedro-mlflow-tutorial
  A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and …
  ☆37Updated 2 years ago
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆34Updated last year
• 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…
  ☆47Updated 3 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last month
• kedro-org / awesome-kedro
  Plugins, extensions, case studies, articles, and video tutorials for Kedro
  ☆69Updated 2 months ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• xLaszlo / CQ4DS-notebook-sklearn-refactoring-exercise
  ☆30Updated 2 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆113Updated last year
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 5 months ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆69Updated 6 months ago
• DanilBaibak / ml-in-production
  The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.
  ☆52Updated 2 years ago
• ploomber / posts
  Complementary code for blog posts
  ☆23Updated last month
• ianozsvald / mot_pandas2_polars_dask
  Investigation for PyDataLondon 2023 and ODSC 2023 conference comparing Pandas 2, Polars and Dask
  ☆11Updated last year
• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆76Updated last year
• thejat / mlops-notebooks
  ☆64Updated this week
• crmne / cookiecutter-modern-datascience
  Start a data science project with modern tools
  ☆189Updated last year
• kaislar / ds_template
  ☆38Updated 2 years ago
• feature-engine / feature-engine-examples
  ☆33Updated 3 weeks ago
• jomariya23156 / full-stack-on-prem-cv-mlops
  "1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data…
  ☆42Updated 6 months ago
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆128Updated last year
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆58Updated 2 years ago
• tgoldenberg / kedro-mlflow-example
  ☆43Updated 2 years ago
• poloclub / timbertrek
  Explore and compare 1K+ accurate decision trees in your browser!
  ☆159Updated 11 months ago
• noahgift / databricks-zero-to-mlops
  ☆27Updated 2 years ago
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆35Updated 3 weeks ago
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆142Updated 2 years ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆81Updated 2 years ago
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆75Updated last year
• braaannigan / data-analysis-with-polars
  Public notebooks and datasets to accompany the Data Analysis with Polars course on Udemy
  ☆43Updated last year