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

• dataman-git / Handbook-of-anomaly-detection
  ☆16Updated 7 months ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 3 months ago
• PacktPublishing / Data-Cleaning-and-Exploration-with-Machine-Learning
  Data Cleaning and Exploration with Machine Learning
  ☆53Updated 2 years ago
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆35Updated last year
• solegalli / feature-selection-with-feature-engine-book
  Code repository for the book Feature engineering with Feature-engine
  ☆14Updated last year
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆17Updated 2 years ago
• elleobrien / automatic_testing
  ☆21Updated last year
• ashishpatel26 / MLOps-Engineering-in-Action
  Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson
  ☆20Updated last year
• solegalli / Python-Feature-Engineering-Cookbook-Second-Edition
  ☆12Updated 11 months ago
• charumakhijani / spark-ml-deployment
  ☆11Updated 4 years ago
• PacktPublishing / XGBoost-for-Regression-Predictive-Modeling-and-Time-Series-Analysis
  XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt
  ☆26Updated 3 months ago
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated last year
• PacktPublishing / Time-Series-Analysis-with-Python-Cookbook-Second-Edition
  Time Series Analysis with Python Cookbook, Second Edition - Published by Packt
  ☆38Updated this week
• PacktPublishing / Essential-PySpark-for-Scalable-Data-Analytics
  Essential PySpark for Scalable Data Analytics, published by Packt
  ☆44Updated 2 years ago
• ryanmark1867 / deep_learning_for_structured_data
  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
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆70Updated last year
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 2 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆23Updated last year
• atreadw1492 / software_engineering_for_data_scientists
  ☆11Updated last year
• PJalgotrader / Deep_forecasting-USU
  GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry
  ☆26Updated last week
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 2 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆103Updated last year
• PacktPublishing / Machine-Learning-with-Amazon-SageMaker-Cookbook
  Machine Learning with Amazon SageMaker Cookbook, published by Packt
  ☆54Updated 2 years ago
• tirthajyoti / Scikit-image-book
  Scikit-image-book-built-with-Jupyter-book
  ☆11Updated 4 years ago
• druce / iowa
  Iowa House Prices Kaggle (top 5%)
  ☆13Updated 10 months ago
• MathiasGruber / ProofOfConcept_MLOps
  Example MLOps using BentoML & mlFlow
  ☆38Updated 3 years ago
• vb100 / deploy-ml-mlflow-aws
  Deploying Models to Production with Mlflow and AWS Sagemaker
  ☆22Updated 3 years ago
• kurtispykes / twitter-sentiment-analysis
  Creating a Gradio user interface to predict the sentiment of a tweet
  ☆12Updated 3 years ago
• djliden / llmops-examples
  Example code and notebooks related to mlflow, llmops, etc.
  ☆42Updated 10 months ago