saturncloud / saturn-cloud-examplesLinks
☆19Updated 4 years ago
Alternatives and similar repositories for saturn-cloud-examples
Users that are interested in saturn-cloud-examples are comparing it to the libraries listed below
Sorting:
- How to do data science with Optimus, Spark and Python.☆19Updated 6 years ago
- Spark NLP for Streamlit☆15Updated 4 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆38Updated 6 years ago
- Slides and materials for most of my talks by year☆93Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 4 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆38Updated last year
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 8 years ago
- Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML☆41Updated last year
- Instant search for and access to many datasets in Pyspark.☆34Updated 3 years ago
- ☆18Updated 4 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last year
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆65Updated 2 years ago
- Operations Research Algorithms☆19Updated last year
- A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …☆20Updated 4 years ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated 3 years ago
- Work for Mastering Large Datasets with Python☆20Updated 3 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- 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
- Strategies to deploy deep learning models☆27Updated 7 years ago
- Articles on machine learning☆66Updated 3 years ago
- ☆21Updated 2 years ago
- ☆59Updated 4 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 3 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆106Updated last week
- This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…☆15Updated 5 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 8 years ago
- 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