whoiscnu Goto Github PK

-applied-machine-learning-and-high-performance-computing-on-aws

4june-az305

azure calttech MS

accelerate-deep-learning-workloads-with-amazon-sagemaker

Accelerate Deep Learning Workloads with Amazon SageMaker

adfdevops

Hands-on lab about CICD for Azure Data Factory

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

advanced-ml-projects

advanced-python-development

Source Code for 'Advanced Python Development' by Matthew Wilkes

ai-data-workshop

Workshop for Data and AI Sessions

ai-ml-july-2020

ai-platform-foundation

AI Platform Foundation

ai-powered-bot

aiml

aiml-1

Материалы для лекций по курсу AIML

aiml-2

Artificial Intelligence Markup Language chatbot tools

aiml-3

Course work from AIML by Great Learning

aiml-4

An AIML interpreter library for .NET Standard and console applications

aiml-projects

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

aiml_sets

AIML sets (ALICE & Mitsuku)

aimlbot

AIMLBot (Program#) is a small, fast, standards-compliant yet easily customizable .NET dll implementation of an AIML (Artificial Intelligence Markup Language) based chatter bot. AIMLBot has been tested on both Microsoft's runtime environment and Mono.

aimlemotions

Emotions for the AI language AIML

alumni-tracking-system

The objective of this application is to allow old and new students of a university or college to communicate with each other.

amazon-ecs-mythicalmysfits-workshop

A tutorial for developers who want to learn about how to containerized applications on top of AWS using AWS Fargate. You will build a sample website that leverages infrastructure as code, containers, CI/CD, and more! If you're planning on running this, let us know @ [email protected]. At re:Invent 2018, these sessions were run as CON214/CON321/CON322.

amazon-eks-machine-learning-with-terraform-and-kubeflow

Distributed TensorFlow training using Kubeflow on Amazon EKS

amazon-kinesis-data-analytics-java-examples

Example Java applications for Kinesis Data Analytics, demonstrating sources, sinks, and operators.

amazon-kinesis-data-streams-for-dynamodb

amazon-macie-and-lake-formation-tbac

Amazon Macie using Machine Learning to discover sensitive data in S3 buckets. Amazon Lake Formation provides Tag-Based Access Control to provide a scalable and flexible way to manage data access in the data lake. In this lab, we will configure a Amazon Macie job to automatically detect sensitive data in an S3 bucket and apply appropriate tags in Lake Formation.

amazon-sagemaker-architecting-for-ml

Materials for a 2-day instructor led course on applying machine learning

amazon-sagemaker-edge-defect-detection-computer-vision

Workshop showcasing how to run defect detection using computer vision at the edge with Amazon SageMaker

amazon-sagemaker-examples

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

amazon-sagemaker-fraud-detection