olowosulu

olowosulu's Stars

• aws-actions/codeguru-reviewer

  8432

• aws-samples/reinvent2018-srv404-lambda-sagemaker

  SRV404 Building Your Own ML Application with AWS Lambda and Amazon SageMaker

  Language:Jupyter Notebook1619

• aws-samples/aws-lambda-layer-kubectl

  AWS Lambda Layer with kubectl and Helm

  Language:TypeScript14551

• aws-samples/amazon-sagemaker-anomaly-detection-with-rcf-and-deepar

  Language:Jupyter Notebook146

• checkcheckzz/system-design-interview

  System design interview for IT companies

  21.7k5.1k

• shashank88/system_design

  Preparation links and resources for system design questions

  8.8k2.5k

• nadiaya/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  1

• mattmakai/underwear

  Dead simple LAMP-stack deployments for Python-powered web applications.

  Language:Python41549

• aws-samples/amazon-codeguru-reviewer-sample-app

  Language:Java30676

• aws/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.

  Language:Python13472

• titu1994/Wide-Residual-Networks

  Wide Residual Networks in Keras

  Language:Python11244

• aws-amplify/aws-sdk-android

  AWS SDK for Android. For more information, see our web site:

  Language:Java1k550

• amazon-connect/amazon-connect-chat-ui-examples

  Examples of how to create and customize the customer side chat for Amazon Connect

  Language:JavaScript147214

• aws-solutions/qnabot-on-aws

  AWS QnABot is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback. The solution allows you to deploy a fully functional chatbot across multiple channels including chat, voice, SMS and Amazon Alexa.

  Language:JavaScript394252

• aws-samples/sagemaker-run-notebook

  Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events

  Language:Python14169

• aws-samples/amazon-sagemaker-script-mode

  Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)

  Language:Jupyter Notebook170101

• awslabs/aws-sdk-android-samples

  This repository has samples that demonstrate various aspects of the AWS SDK for Android, you can get the SDK source on Github https://github.com/aws-amplify/aws-sdk-android/

  Language:Java1k1k

• aws/amazon-sagemaker-examples

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

  Language:Jupyter Notebook10.1k6.8k

• cloudflare/quiche

  🥧 Savoury implementation of the QUIC transport protocol and HTTP/3

  Language:Rust9.4k713

• marckarp/HelloWorld

  Language:Jupyter Notebook32

• aws-samples/liveness-detection

  Backend and a JavaScript frontend of a liveness detection application.

  Language:TypeScript9940

• pytorch/serve

  Serve, optimize and scale PyTorch models in production

  Language:Java4.2k858

• aws/deep-learning-containers

  AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.

  Language:Python1k462

• donnemartin/awesome-aws

  A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

  Language:Python12.5k1.7k

• aws-samples/amazon-textract-response-parser

  Parse JSON response of Amazon Textract

  Language:TypeScript22096

• aws/sagemaker-tensorflow-serving-container

  A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.

  Language:Python174101

• aws/sagemaker-python-sdk

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

  Language:Python2.1k1.1k

• awslabs/aws-lex-ai-kit

  A demonstration of how to get a simple voice based AI kit up and running and connected to Amazon Lex, using a Raspberry Pi and off-the-shelf components

  Language:JavaScript217

• aws-neuron/aws-neuron-sdk

  Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services

  Language:Python449151

• localstack/localstack

  💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

  Language:Python56k4k