Pinned Repositories
algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
amazon-sagemaker-workshop
Amazon SageMaker workshop lab guides and materials
AmazonSageMakerCourse
SageMaker Course Material
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
aws-ai-qna-bot
Code samples related to "Creating a Question and Answer Bot with Amazon Lex and Amazon Alexa", published on the AWS AI Blog. QnABot (pronounced “Q and A Bot”), uses Amazon Lex and Amazon Alexa to provide a conversational interface to your “Questions and Answers”, so users can just ask their questions and get quick and relevant answers.
aws-cloudformation-templates
A collection of useful CloudFormation templates
aws-devops-essential
In few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market for new product capabilities.
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
taruns1017's Repositories
taruns1017/amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
taruns1017/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
taruns1017/amazon-sagemaker-workshop
Amazon SageMaker workshop lab guides and materials
taruns1017/AmazonSageMakerCourse
SageMaker Course Material
taruns1017/aws-cloudformation-templates
A collection of useful CloudFormation templates
taruns1017/aws-devops-essential
In few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market for new product capabilities.
taruns1017/aws-serverless-airline-booking
Airline Booking is a complete web application that provides Flight Search, Flight Payment, Flight Booking, Flight Preferences and Loyalty points including end-to-end testing, GraphQL and CI/CD. This web application is the theme of Build on Serverless Season 2 on AWS Twitch running from April 24th until end of July.
taruns1017/aws-well-architected-labs
Hands on labs and code to help you learn, measure, and build using architectural best practices.
taruns1017/csa-a-2018
taruns1017/da-week
Data Analytics Week at the AWS Loft
taruns1017/data-protection
Workshop and sample code that builders can use for experiential learning of AWS services that provide data protection. Services such as AWS KMS, AWS ACM, AWS CloudHSM and others will be explored
taruns1017/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
taruns1017/ecsdemo-crystal
Part 4 of a 4 part ECS Workshop
taruns1017/ecsdemo-frontend
taruns1017/ecsdemo-nodejs
Part 3 of a 4 part ECS workshop
taruns1017/eksctl
a CLI for Amazon EKS
taruns1017/free-programming-books
:books: Freely available programming books
taruns1017/keras-vis
Neural network visualization toolkit for keras
taruns1017/malmo
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
taruns1017/playground
Play with neural networks!
taruns1017/Python
All Algorithms implemented in Python
taruns1017/sagemaker-spark
A Spark library for Amazon SageMaker.
taruns1017/Spoon-Knife
This repo is for demonstration purposes only.
taruns1017/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
taruns1017/stat-cookbook
:orange_book: The probability and statistics cookbook
taruns1017/tensorboard
TensorFlow's Visualization Toolkit
taruns1017/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
taruns1017/Track
taruns1017/troposphere
troposphere - Python library to create AWS CloudFormation descriptions
taruns1017/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow