PacktPublishing / Accelerate-Deep-Learning-Workloads-with-Amazon-SageMakerLinks
Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt
☆17Updated last year
Alternatives and similar repositories for Accelerate-Deep-Learning-Workloads-with-Amazon-SageMaker
Users that are interested in Accelerate-Deep-Learning-Workloads-with-Amazon-SageMaker are comparing it to the libraries listed below
Sorting:
- Machine Learning for Streaming Data with Python, published by Packt☆71Updated last year
- ☆12Updated last year
- Data Cleaning and Exploration with Machine Learning☆53Updated 2 years ago
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- Essential PySpark for Scalable Data Analytics, published by Packt☆45Updated 2 years ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last year
- Machine Learning Engineering with Python☆185Updated 2 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆19Updated 2 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- Repository for the book Simplifying Machine Learning with PyCaret.☆66Updated 2 years ago
- Code repository for the book Feature engineering with Feature-engine☆14Updated last year
- Forecasting Time-Series Data with Facebook Prophet, published by Packt☆105Updated 2 years ago
- Cleaning Data for Effective Data Science, published by Packt☆99Updated 2 years ago
- ☆65Updated 3 months ago
- Awesome list and projects of Time Series☆29Updated last year
- ☆21Updated last year
- Code repository for the online course Machine Learning Interpretability☆26Updated 9 months ago
- Comet for Data Science, published by Packt☆42Updated last year
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 6 months ago
- An end-to-end project on customer segmentation☆83Updated 2 years ago
- A pipeline to detect data drift and retrain the model when there is drift☆23Updated 2 years ago
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated last year
- A comprehensive credit risk model and scorecard using data from Lending Club☆142Updated 4 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆35Updated last year
- Reference code base for ML Engineering, Manning Publications☆132Updated 4 years ago
- Source Code for 'Advanced Forecasting with Python' by Joos Korstanje☆73Updated 3 years ago
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆59Updated 2 months ago
- Example MLOps using BentoML & mlFlow☆38Updated 4 years ago
- AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide, published by Packt☆66Updated 4 years ago