Pinned Repositories
coursera-cloud-computing-capstone
Capstone project for Coursera's Cloud Computing Specialization
mlnd-capstone
Capstone project for Udacity Machine Learning Nanodegree
mlnd-customer-segments
Udacity Machine Learning Basic Nanodegree Program - Project 3: Customer Segments
mlnd-image-classifier
Udacity Machine Learning Basic Nanodegree Program - Project 2: Flower Image Classifier
mlnd-plagiarism-detection
Plagiarism Detection model as part of the Udacity Machine Learning ND curriculum
mlnd-sentiment-analysis
Sentiment Analysis Model as part of Udacity Machine Learning ND curriculum
jkielbaey's Repositories
jkielbaey/coursera-cloud-computing-capstone
Capstone project for Coursera's Cloud Computing Specialization
jkielbaey/avida
Calculate total value of crypto assets on Binance and in cold storage wallets.
jkielbaey/mlnd-image-classifier
Udacity Machine Learning Basic Nanodegree Program - Project 2: Flower Image Classifier
jkielbaey/mlnd-capstone
Capstone project for Udacity Machine Learning Nanodegree
jkielbaey/mlnd-customer-segments
Udacity Machine Learning Basic Nanodegree Program - Project 3: Customer Segments
jkielbaey/mlnd-plagiarism-detection
Plagiarism Detection model as part of the Udacity Machine Learning ND curriculum
jkielbaey/mlnd-sentiment-analysis
Sentiment Analysis Model as part of Udacity Machine Learning ND curriculum
jkielbaey/aws-media-insights-content-localization
Automatically generate multi-language subtitles using AWS AI/ML services. Machine generated subtitles can be edited to improve accuracy and downstream tracks will automatically be regenerated based on the edits. Built on Media Insights Engine (https://github.com/awslabs/aws-media-insights-engine)
jkielbaey/dots
dotfiles to manage my local setup
jkielbaey/media-insights-on-aws
A serverless framework to accelerate the development of applications that discover next-generation insights in your video, audio, text, and image resources by utilizing AWS Machine Learning and Media services.
jkielbaey/ML_SageMaker_Studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
jkielbaey/mlnd-donors-for-charityml
Udacity Machine Learning Basic Nanodegree Program - Project 1: Finding donors for CharityML
jkielbaey/sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
jkielbaey/serverless-application-model
AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications