Alternatives and similar repositories for apply-workshop-2022

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

• adbreind / techniques
  Modern Techniques for Data Science with Big Datasets
  ☆12Updated 2 years ago
• Klalena / AWS-Serverless-Data-Engineering-Pipeline
  This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…
  ☆20Updated 4 years ago
• noahgift / databricks-zero-to-mlops
  ☆27Updated 3 years ago
• monte-carlo-data / data-downtime-challenge
  ☆90Updated 2 years ago
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆50Updated 2 years ago
• zzstoatzz / oreilly-workflow-orchestration
  ☆27Updated 3 years ago
• adipolak / ml-with-apache-spark
  A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…
  ☆86Updated 2 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 6 years ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆49Updated 9 months ago
• datastacktv / kubeflow-introduction
  Code examples for the Introduction to Kubeflow course
  ☆14Updated 4 years ago
• xLaszlo / CQ4DS-notebook-sklearn-refactoring-exercise
  ☆30Updated 2 years ago
• flyteorg / flytelab
  Machine Learning Projects with Flytekit
  ☆36Updated 2 years ago
• jwills / de4ml
  Supporting materials/code examples for my course in data engineering for machine learning.
  ☆38Updated 2 years ago
• dmatrix / mlflow-workshop-part-3
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…
  ☆35Updated 5 years ago
• Azure / feast-azure
  Azure plugins for Feast (FEAture STore)
  ☆84Updated last year
• dmatrix / mlflow-workshop-part-2
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…
  ☆39Updated 4 years ago
• MrPowers / farsante
  Fake Pandas / PySpark DataFrame creator
  ☆48Updated last year
• datastacktv / apache-beam-batch-processing
  Public source code for the Batch Processing with Apache Beam (Python) online course
  ☆18Updated 5 years ago
• jonathandinu / spark-ray-data-science
  Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with …
  ☆52Updated 9 months ago
• maxhumber / DE4DS
  ⭕️ Data Engineering for Data Scientists
  ☆78Updated 2 years ago
• great-expectations / great_expectations_action
  A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.
  ☆81Updated last year
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆86Updated 2 years ago
• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆81Updated 2 years ago
• mehd-io / duckdb-dataviz-demo
  DuckDB with Dashboarding tools demo evidence, streamlit and rill
  ☆21Updated last year
• mlrun / storey
  real-time data + ML pipeline
  ☆54Updated 3 weeks ago
• adriangonz / mlflow-talk
  End to End example integrating MLFlow and Seldon Core
  ☆52Updated 4 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 3 years ago
• microsoft / dstoolkit-mlops-databricks
  ML Ops Accelerator: Databricks & Azure Machine Learning Unification
  ☆78Updated last year
• dmatrix / feast_workshops
  A series of workshop modules introducing Feast feature store.
  ☆19Updated 3 years ago