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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

amazon-sagemaker-keras-text-classification

A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker

awesome-http-benchmark

HTTP(S) benchmark tools, testing/debugging, & restAPI (RESTful)

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.

deeplearning-benchmark

fastertransformer

Transformer related optimization, including BERT, GPT

glow

Compiler for Neural Network hardware accelerators

gpu-monitoring-tools

Tools for monitoring NVIDIA GPUs on Linux

gunicorn

gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.

ignite

Mirror of Apache Ignite

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

katacoda-scenarios

Katacoda Scenarios

machine-learning-using-k8s

Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS

mxnet-model-server

Model Server for Apache MXNet is a tool for deploying neural net models for inference

netron

Visualizer for deep learning and machine learning models

netty

Netty project - an event-driven asynchronous network application framework

octogram

OctoGram is an unofficial messaging app that uses Telegram's API.

onnx-mxnet

ONNX model format support for Apache MXNet

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

production-level-deep-learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

sagemaker-containers

This support code is used for making machine learning frameworks (e.g. MXNet, TensorFlow) run on Amazon SageMaker.

sagemaker-huggingface-inference-toolkit

sagemaker-inference-toolkit

Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

sagemaker-python-sdk

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

sagemaker-pytorch-container

Docker container for running PyTorch scripts to train and host PyTorch models on SageMaker

sagemaker-pytorch-inference-toolkit

Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

sagemaker-tensorflow-container

This support code is used for making the TensorFlow framework run on Amazon SageMaker.

serve

Model Serving on PyTorch

system-design-101

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.