PacktPublishing / Accelerate-Deep-Learning-Workloads-with-Amazon-SageMakerLinks
Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt
☆17Updated 2 months ago
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☆72Updated 2 months ago
- Data Cleaning and Exploration with Machine Learning☆54Updated 2 months ago
- Essential PySpark for Scalable Data Analytics, published by Packt☆45Updated 2 years ago
- Machine Learning Engineering on AWS, published by Packt☆70Updated 2 months ago
- ☆12Updated last year
- Machine Learning Engineering with Python☆185Updated 2 months ago
- Mastering Machine Learning on AWS, published by Packt☆47Updated 2 years ago
- Data Labeling in Machine Learning with Python, by Packt Publishing☆20Updated this week
- Machine Learning Model Serving Patterns and Best Practices☆35Updated 2 months ago
- ☆12Updated 2 years ago
- Reference code base for ML Engineering, Manning Publications☆131Updated 4 years ago
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…☆86Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 10 months ago
- Repository for the book Simplifying Machine Learning with PyCaret.☆67Updated 2 years ago
- Source Code for 'Advanced Forecasting with Python' by Joos Korstanje☆74Updated 3 years ago
- AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide, published by Packt☆67Updated 2 months ago
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆64Updated 2 months ago
- Cleaning Data for Effective Data Science, published by Packt☆100Updated 2 months ago
- Code repository for the book Feature engineering with Feature-engine☆14Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated 2 years ago
- An end-to-end project on customer segmentation☆83Updated 2 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆43Updated 4 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆20Updated 2 years ago
- Slides for "Feature engineering for time series forecasting" talk☆62Updated 3 years ago
- ☆66Updated 6 months ago
- Production-Ready Applied Deep Learning☆91Updated 2 months ago
- Machine Learning Engineering with MLflow, published by Packt☆117Updated 2 months ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆92Updated 2 years ago
- An example MLFlow project☆49Updated 10 months ago
- Deployment of ML models using Python's Scikit-Learn + FastAPI + Docker☆25Updated 3 years ago