PacktPublishing / Machine-Learning-Engineering-with-MLflowLinks
Machine Learning Engineering with MLflow, published by Packt
☆115Updated last year
Alternatives and similar repositories for Machine-Learning-Engineering-with-MLflow
Users that are interested in Machine-Learning-Engineering-with-MLflow are comparing it to the libraries listed below
Sorting:
- Machine Learning Engineering with Python☆185Updated 2 years ago
- Engineering MLOps, published by Packt☆186Updated 2 years ago
- Reference code base for ML Engineering, Manning Publications☆130Updated 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 three …☆240Updated 4 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆161Updated last year
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆73Updated 3 years ago
- Machine Learning Engineering on AWS, published by Packt☆67Updated last year
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆136Updated last year
- Example MLOps using BentoML & mlFlow☆38Updated 4 years ago
- An end-to-end project on customer segmentation☆82Updated 2 years ago
- This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.☆412Updated 6 months ago
- Applied Machine Learning Explainability Techniques, published by Packt☆247Updated last year
- An example MLFlow project☆48Updated 6 months ago
- Production-Ready Applied Deep Learning☆90Updated last year
- Machine Learning Using TensorFlow Cookbook, published by Packt☆68Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Machine Learning for Streaming Data with Python, published by Packt☆71Updated last year
- Mastering Big Data Analytics with PySpark, Published by Packt☆160Updated 10 months ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 5 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated 2 years ago
- Python Feature Engineering Cookbook, published by Packt☆481Updated 2 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆209Updated 2 months ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated last year
- ML Zoomcamp fall 2021 homework and stuff☆66Updated 3 years ago
- Essential PySpark for Scalable Data Analytics, published by Packt☆44Updated 2 years ago
- [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide☆121Updated 6 months ago
- An example MLflow project☆266Updated last year
- Code Repository for The Kaggle Workbook, Published by Packt☆123Updated 2 months ago
- Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…☆183Updated 3 years ago
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…☆83Updated last year