noahgift / orLinks
Operations Research Algorithms
☆18Updated last year
Alternatives and similar repositories for or
Users that are interested in or are comparing it to the libraries listed below
Sorting:
- 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
- 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
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 9 months 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…☆20Updated 4 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years 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
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago
- ☆21Updated 2 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- Artificial Intelligence with Python Cookbook, published by Packt☆77Updated last month
- ☆18Updated 4 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 3 years ago
- Scaling Python Machine Learning☆50Updated 2 years ago
- ☆12Updated 6 years ago
- Examples showcasing model deployment☆18Updated 2 years ago
- Spark NLP for Streamlit☆15Updated 4 years ago
- Managed Machine Learning Systems and Internet of Things Live Lesson☆40Updated 9 months ago
- Fundamentals of Machine Learning with Scikit-Learn☆16Updated 4 years ago
- [Video]Colab Notebooks for Python for Data Science by Pearson☆42Updated 9 months ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated last year
- ☆33Updated 3 years ago
- Strategies to deploy deep learning models☆27Updated 7 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- Work for Mastering Large Datasets with Python☆20Updated 2 years ago
- Machine Learning Deployment for Kubernetes☆18Updated last year
- Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/cour…☆46Updated 2 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆103Updated this week
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆23Updated last year