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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

d2l-java

The Java implementation of Dive into Deep Learning (D2L.ai)

d2l-java-zh

deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

djl

An Engine-Agnostic Deep Learning Framework in Java

djl-demo

Demo applications showcasing DJL

djl-serving

djl-spring-boot-starter

DJL Spring Boot Starter

djl-spring-boot-starter-demo

DJL Spring Boot Starter Demo apps

homebrew-core

🍻 Default formulae for the missing package manager for macOS (or Linux)

llm-hosting-container

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

starter-workflows

Accelerating new GitHub Actions workflows

text-generation-inference

Large Language Model Text Generation Inference

visrec-djl

Implementation of JSR381's API using DJL.

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs