PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlowLinks
Practical Deep Learning at Scale with MLFlow, published by Packt
☆163Updated 3 weeks ago
Alternatives and similar repositories for Practical-Deep-Learning-at-Scale-with-MLFlow
Users that are interested in Practical-Deep-Learning-at-Scale-with-MLFlow are comparing it to the libraries listed below
Sorting:
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated 3 weeks ago
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆80Updated 2 years ago
- An end-to-end project on customer segmentation☆83Updated 3 years ago
- Production-Ready Applied Deep Learning☆91Updated 3 weeks ago
- Engineering MLOps, published by Packt☆189Updated 3 weeks ago
- Machine Learning Engineering with Python☆187Updated 3 weeks ago
- Machine Learning for Streaming Data with Python, published by Packt☆73Updated 3 weeks 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…☆184Updated 3 years ago
- Reference code base for ML Engineering, Manning Publications☆134Updated 4 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated 2 years ago
- Demo for CI/CD in a machine learning project☆116Updated 2 years ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆236Updated 3 years ago
- Machine Learning Engineering with MLflow, published by Packt☆121Updated 3 weeks ago
- Demo Computer Vision Project☆65Updated 2 years ago
- Comet for Data Science, published by Packt☆42Updated 3 weeks ago
- ☆20Updated 3 years ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆169Updated last year
- A simple guide to MLOps through ZenML and its various integrations.☆188Updated last year
- MLOps maturity assessment☆61Updated 2 years ago
- A project from the ml_ops Zoomcamp (DataTalks) using Semiconductor data☆22Updated 3 years ago
- Machine Learning Model Serving Patterns and Best Practices☆36Updated 3 weeks ago
- Learn how to create reliable ML systems by testing code, data and models.☆91Updated 3 years ago
- Machine Learning for Imbalanced Data, published by Packt☆277Updated 3 weeks ago
- Awesome MLOps Course Outline☆36Updated 3 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆95Updated 3 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 3 years ago
- ML Zoomcamp fall 2021 homework and stuff☆66Updated 3 years ago
- ☆33Updated 2 years ago
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆135Updated 2 years ago
- Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.co…☆180Updated 3 years ago