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amazon-sagemaker-examples

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

amazon-sagemaker-examples-community

aresdb

A GPU-powered real-time analytics storage and query engine.

benchmark

benchmark-locust

Benchmark suite for LLMs from Fireworks.ai

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.

folly

An open-source C++ library developed and used at Facebook.

multi-model-server

Multi Model Server is a tool for serving neural net models for inference

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

sagemaker-pytorch-training-toolkit

Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

serve

Model Serving on PyTorch

server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

torchserve_perf

zap

Blazing fast, structured, leveled logging in Go.