Alternatives and similar repositories for pydataberlin-2022:

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

• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆34Updated last year
• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆76Updated last year
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated last year
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆69Updated 8 months ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 6 months 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
• sktime / sktime-tutorial-pydata-berlin-2022
  ☆38Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 2 months ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• mlflow / recipes-examples
  Example repo to kickstart integration with mlflow recipes.
  ☆44Updated last month
• NatanMish / data_validation
  Tutorial for implementing data validation in data science pipelines
  ☆33Updated 2 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…
  ☆48Updated 3 years ago
• ianozsvald / mot_pandas2_polars_dask
  Investigation for PyDataLondon 2023 and ODSC 2023 conference comparing Pandas 2, Polars and Dask
  ☆11Updated last year
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 2 years ago
• rmminusrslash / ml_ops
  ☆26Updated 2 years ago
• ploomber / posts
  Complementary code for blog posts
  ☆24Updated 2 months ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• poloclub / timbertrek
  Explore and compare 1K+ accurate decision trees in your browser!
  ☆160Updated last year
• xLaszlo / CQ4DS-notebook-sklearn-refactoring-exercise
  ☆30Updated 2 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆58Updated 2 years ago
• datamindedbe / webinar-containers
  ☆15Updated 3 years ago
• khuyentran1401 / prefect2-mlops-demo
  Demo on how to use Prefect 2 in an ML project
  ☆41Updated 2 years ago
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆130Updated last year
• astrojuanlu / talk-dataframes
  Talk "Beyond pandas: The great Python dataframe showdown"
  ☆37Updated 2 years ago
• feature-engine / feature-engine-examples
  ☆33Updated last month
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆76Updated last year
• astrojuanlu / workshop-from-zero-to-mlops
  Workshop "From zero to MLOps: An open source stack to fight spaghetti ML"
  ☆24Updated 8 months ago
• hackalog / make_better_defaults
  Improving your data science workflows with "make". A Pydata Global 2021 Talk
  ☆34Updated 2 years ago
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆39Updated last month