Detect Defects in Products from their Images using Amazon SageMaker

Deploy Stable Diffusion Model on Amazon SageMaker Endpont

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

Deploying a PyTorch model using AWS SageMaker

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…

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

Xgboost-PyTorch Models on MNIST with K8s SageMaker Operators

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

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

A repo for creating Sagemaker jobs

Using SageMaker to deploy the semtiment analysis web app

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

You can try the final app here