Detect Defects in Products from their Images using Amazon SageMaker

Deploy Stable Diffusion Model on Amazon SageMaker Endpont

3D Pointclouds annotation and Instance segmentation for plant phenotyping

Deploying a PyTorch model using AWS SageMaker

ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.

Deploying sentiment analysis model with Sagemaker trained on the IMDB dataset using LSTM in PyTorch

In this project, I was tasked with building a plagiarism detector that examines a text file and performs binary classification; labelling that file as either plagiarized or not, depending on how similar that text file is to a provided source text. Detecting plagiarism is an active area of research; the task is non-trivial and the differences bet…

Xgboost-PyTorch Models on MNIST with K8s SageMaker Operators

An update to date SageMaker Version 2 Machine Learning endpoint building and connection with Kubernetes cluster backend with SageMaker Kubernetes Operators

Contains solution for plagiarism detection project (2nd project of ml nanodegree udacity) .Uses two features contaiment and longest common subsequence to identify plagiarism.

PyTorch Forecasting SageMaker Examples

A pointer to video lectures I gave as a teaching assistant for graduate level Applied Machine Learning

Using SageMaker to deploy the semtiment analysis web app

A repo for creating Sagemaker jobs

You can try the final app here

A repo containing end to end sagemaker mlops pipeline for model building

a simple end-to-end web page which a user can use to enter a movie review. The web page will then send the review off to a deployed model which will predict the sentiment of the entered review. The model is trained using a custom RNN pytorch code

Example Python smaples for running your local code as a SageMaker training job using @Remote decorator