elleobrien / automatic_testingLinks
☆21Updated last year
Alternatives and similar repositories for automatic_testing
Users that are interested in automatic_testing are comparing it to the libraries listed below
Sorting:
- Best practices for engineering ML pipelines.☆35Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 5 months ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- 🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow☆17Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Deploy Machine Learning Pipeline on AWS Fargate☆13Updated 2 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆30Updated last week
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆35Updated last year
- This repository contains sample code, which is used for a MLOps Workshop☆26Updated last year
- ☆65Updated last month
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- Machine Learning with TensorFlow Extended (TFX) Pipelines☆13Updated last year
- A repository that showcases how you can use ZenML with Git☆69Updated last month
- Deployment of ML models with Serverless APIs (AWS Lambda) and Docker☆24Updated 4 years ago
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib☆19Updated 3 years ago
- ☆15Updated 2 years ago
- ☆18Updated 3 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago
- Tutorials for using Tensorflow and Keras for NLP☆14Updated 7 years ago
- This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hand…☆21Updated 2 years ago
- Operations Research Algorithms☆17Updated last year
- ☆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
- ☆16Updated 4 years ago
- Collection of python scripts to demonstrate asynchronous programming in python☆11Updated 3 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- 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
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆86Updated 2 years ago