Alternatives and similar repositories for scaling-machine-learning-course

Users that are interested in scaling-machine-learning-course are comparing it to the libraries listed below

• 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…
  ☆83Updated last year
• maxhumber / DE4DS
  ⭕️ Data Engineering for Data Scientists
  ☆78Updated 2 years ago
• noahgift / databricks-zero-to-mlops
  ☆27Updated 3 years ago
• GokuMohandas / data-engineering
  Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
  ☆226Updated 3 years ago
• monte-carlo-data / data-downtime-challenge
  ☆87Updated 2 years ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆132Updated 4 years ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆48Updated 8 months ago
• PacktPublishing / Essential-PySpark-for-Scalable-Data-Analytics
  Essential PySpark for Scalable Data Analytics, published by Packt
  ☆45Updated 2 years ago
• indiacloudtv / pyspark_on_google_colab
  PySpark Tutorial for Beginners on Google Colab: Hands-On Guide
  ☆17Updated 5 years ago
• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆117Updated last week
• PacktPublishing / Data-Engineering-with-Scala-and-Spark
  Data Engineering with Scala, published by Packt
  ☆25Updated last year
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆50Updated 2 years ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated last week
• PacktPublishing / Machine-Learning-on-Kubernetes
  Machine Learning on Kubernetes, published by packt
  ☆79Updated last week
• thejat / mlops-notebooks
  ☆66Updated 4 months ago
• PacktPublishing / Data-Engineering-with-Apache-Spark-Delta-Lake-and-Lakehouse
  Data Engineering with Spark and Delta Lake
  ☆104Updated 2 years ago
• flippedcoder / mlops-demo
  ☆19Updated last year
• paiml / minimal-python
  Public Source code for book minimal Python
  ☆71Updated 8 months ago
• sinanuozdemir / oreilly-ai-pipelines
  Designing and Deploying LLM Pipelines
  ☆35Updated 5 months ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated last week
• drabastomek / PySparkCookbook
  A repository for a PySpark Cookbook by Tomasz Drabas and Denny Lee
  ☆60Updated 7 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 8 months ago
• dkhundley / ds-quick-tips
  Data Science Quick Tips Repository!
  ☆48Updated last year
• PacktPublishing / Cleaning-Data-for-Effective-Data-Science
  Cleaning Data for Effective Data Science, published by Packt
  ☆99Updated last week
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• itversity / data-engineering-spark
  ☆88Updated 3 years ago
• alexeygrigorev / deep-learning-keras-aws-lambda
  ☆11Updated 2 years ago
• DavidMertz / ML-Webinar
  Machine Learning with sklearn tutorials (for Pearson)
  ☆110Updated 2 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 8 months ago