htorrence / pytest_examples

Related projects: ⓘ

• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆100Updated 5 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆57Updated 5 years ago
• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆85Updated last year
• priceloop / conventions
  ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc
  ☆102Updated last year
• tgoldenberg / kedro-mlflow-example
  ☆42Updated last year
• quantumblacklabs / kedro-airflow
  ☆115Updated this week
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆72Updated 7 months ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆74Updated last year
• chrisalbon / sklearn-flask-docker
  ☆117Updated this week
• quantumblacklabs / kedro-docker
  ☆107Updated this week
• osin-vladimir / mlflow_tutorial
  Managing machine learning life-cycle with MLflow tutorial
  ☆23Updated last year
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆134Updated 7 months ago
• dataiku-research / mealy
  Model Error Analysis for scikit-learn models.
  ☆28Updated 2 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆197Updated 5 months ago
• ananthdurai / airflow-training
  Airflow training for the crunch conf
  ☆105Updated 5 years ago
• amesar / mlflow-spark-summit-2019
  MLFlow Spark Summit 2019 Presentation
  ☆67Updated 5 years ago
• deliveryhero / pyconde2019-airflow-ml-workshop
  PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.
  ☆47Updated last year
• marrrcin / pandas-feature-union
  Use Pandas DataFrame with scikit-learn Pipelines and Feature Unions
  ☆32Updated 5 years ago
• klemag / pydataLDN_2019-maintainable-code-for-data-science
  ☆47Updated 5 years ago
• mlflow / mlp-regression-template
  Example repo to kickstart integration with mlflow pipelines.
  ☆73Updated last year
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆106Updated 5 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 3 weeks ago
• schmidtbri / simple-ml-model-abc
  Code demonstrating a simple Machine Learning model abstract base class and its uses.
  ☆14Updated last year
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆172Updated 2 months ago
• monte-carlo-data / data-downtime-challenge
  ☆83Updated last year
• amueller / dabl
  Data Analysis Baseline Library
  ☆130Updated 8 months ago
• hackalog / bus_number
  Up Your Bus Number: A Primer for Reproducible Data Science
  ☆67Updated 5 years ago
• adbreind / open-standard-models-2019
  ☆18Updated 4 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆108Updated last year
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated last year