noahgift / orLinks
Operations Research Algorithms
☆17Updated last year
Alternatives and similar repositories for or
Users that are interested in or are comparing it to the libraries listed below
Sorting:
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 6 months ago
- Best practices for engineering ML pipelines.☆35Updated 3 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
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 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
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- ☆18Updated 3 years ago
- ☆21Updated 2 years ago
- ☆19Updated 4 years ago
- This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…☆19Updated 4 years ago
- Examples for using Amazon SageMaker components in Kubeflow Pipelines☆22Updated 5 years ago
- Scaling Python Machine Learning☆47Updated last year
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆47Updated 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 3 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆23Updated last year
- This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…☆15Updated 4 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 9 months ago
- In this project, we are going to use a random forest algorithm (or any other preferred algorithm) from scikit-learn library to help predi…☆10Updated 4 years ago
- Managed Machine Learning Systems and Internet of Things Live Lesson☆40Updated 6 months ago
- ☆21Updated 2 years ago
- Example MLOps using BentoML & mlFlow☆38Updated 4 years ago
- Syllabus for Artificial Intelligence for Product Innovation Master of Engineering: https://ai.meng.duke.edu/degree☆32Updated 2 years ago
- Repository for GH public projects☆18Updated last year
- Demo on how to use Prefect with Docker☆27Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆89Updated 2 years ago
- Artificial Intelligence with Python Cookbook, published by Packt☆75Updated 2 years ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago