data-max-hq / ab-testing-in-mlLinks
Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
☆40Updated 6 months ago
Alternatives and similar repositories for ab-testing-in-ml
Users that are interested in ab-testing-in-ml are comparing it to the libraries listed below
Sorting:
- Best practices for engineering ML pipelines.☆35Updated 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
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆87Updated 2 years ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- A repository that showcases how you can use ZenML with Git☆69Updated last month
- ☆21Updated last year
- ☆65Updated 2 months ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- ☆18Updated 3 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆80Updated 3 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆32Updated 2 weeks ago
- ☆15Updated 2 years ago
- This is code depository for my upcoming session. Will update details post the session☆40Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆35Updated last year
- Scaling Python Machine Learning☆46Updated last year
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆61Updated 2 years ago
- This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…☆20Updated 4 months ago
- [Intemarché] Sales forecasting challenge☆11Updated 4 years ago
- Machine Learning with TensorFlow Extended (TFX) Pipelines☆13Updated last year
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.☆30Updated 2 years ago
- The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info☆16Updated 4 years ago
- Dashboard for Data Drift Detection in Python with Evidently and Mercury☆14Updated 3 years ago
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆107Updated 3 years ago
- Codes, scripts, and notebooks on various aspects of transformer models.☆27Updated 2 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆87Updated 2 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 5 months ago