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

All the available resources to master MLOPS from scratch

BentoML Example Projects 🎨

Amazon SageMaker Solution for explaining credit decisions.

MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK

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

Big Data Engineering & Analytics Project

AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB

A hotel recommender system using SageMaker

Corporate Credit Rating Prediction with AWS SageMaker JumpStart

Code for the Generative AI workshop

Build machine learning-powered business intelligence analyses using Amazon QuickSight

Deep Learning Udacity Nanodegree - SageMaker Deployment of a Sentiment Analysis model