Kartik Iyengar's repositories
Algorithms-for-DNA-sequencing
Codes from Coursera's course Algorithms for DNA sequencing, part of genomic data science specialization offered by Johns Hopkins University
amazon-bedrock-animation-demo
Creating Generative AI Video Animations using Amazon Bedrock and Stable Diffusion XL 1.0
amazon-sagemaker-architecting-for-ml-hcls
An AWS workshop to teach concepts about machine learning and cloud architecture within health care and life sciences
amazon-sagemaker-examples
Example š Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using š§ Amazon SageMaker.
amazon-sagemaker-model-serving-using-aws-cdk
This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.
amazon-sagemaker-workshop
Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
Convolutional-Neural-Networks
Course - 3 of Deep Learning specialisation taught by Andrew Ng offered by Coursera
datasciencecoursera
Coursera Datascience JHU
datasharing
The Leek group guide to data sharing
dialog-tool
Tool to create, manage, and interact with dialogs for the IBM Watson Dialog Service
galaxy
Data intensive science for everyone.
Getting-Started-with-Amazon-SageMaker-Studio
Getting Started with Amazon SageMaker Studio, published by Packt
investment-advisor
The Investment Advisor Demo combines IBM Watson Personality Insights and IBM Watson Tradeoff Analytics services to recommend suitable funds and agents for clients. Fund recommendation is based on client's personality and risk profile. Studies have indicated that risk preference of an individual is correlated to some personality attributes such as Cautiousness and Stability. Each fund, based on it's risk score is assigned a personality portrait. Investment Advisor recommends funds which have similar personality portrait to client's personality.
kdbai-samples
Developer samples for the KDB.AI vector database
kzxing
Official ZXing ("Zebra Crossing") project home
machine-learning
Content for Udacity's Machine Learning curriculum
MachineLearning
Udacity Machine Learning Stuff
ml-sklearn
Tutorials on Machine Learning with Scikit-Learn
movieapp-dialog
The What's in Theaters application showcases the best practices in building a Watson conversational solution by using the Watson Dialog service.
parrot-sample
Sample code which uses MQTT to control a Parrot AR Drone
synthetic-graph-data
Synthetic data generation for graph ML experiments
tensorflow
Computation using data flow graphs for scalable machine learning
The-Machine-Learning-Solutions-Architect-Handbook
The Machine Learning Solutions Architect Handbook, published by Packt
ud120-projects
Starter project code for students taking Udacity ud120
zero_to_deep_learning_video
Repository for the Zero to Deep LearningĀ® Video Course