Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core
MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
BentoML Example Projects 🎨
Amazon SageMaker Solution for explaining credit decisions.
Using Deep Learning for Demand Forecasting with Amazon SageMaker
Streamlit EDA Dashboard Powered by AWS Cloud
Predictive Maintenance for Vehicle Fleets
Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
ACK service controller for Amazon SageMaker
AWS Certified AI Practitioner (AIF-C01) exam preparation
AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB
Corporate Credit Rating Prediction with AWS SageMaker JumpStart
A hotel recommender system using SageMaker
Code for the Generative AI workshop
This repostory contains a deep learning-based system to detect and classify waste according to which container it should be thrown into.
Add a description, image, and links to the aws-sagemaker topic page so that developers can more easily learn about it.
To associate your repository with the aws-sagemaker topic, visit your repo's landing page and select "manage topics."