sagemaker-pytorch

aws-samples/deploy-stable-diffusion-model-on-amazon-sagemaker-endpoint

Deploy Stable Diffusion Model on Amazon SageMaker Endpont

Moddy2024/Bird-Classification

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

salehsargolzaee/Deploy-PyTorch-Model-using-SageMaker

Deploying a PyTorch model using AWS SageMaker

Physicist91/sentiment-analysis

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

sachinrai416/Project_Plagiarism_Detection.

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 between paraphrased answers and original work are often not so obvious.

coreyjs/sentiment-analysis-sagemaker

dannygallagher/Applied-Machine-Learning-Lectures

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

deepanshu-yadav/plagiarism-detection

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

eitansela/amazon-sagemaker-remote-decorator-examples

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

ksmin23/pytorch-forecasting-sagemaker

PyTorch Forecasting SageMaker Examples

xxl4tomxu98/SageMaker-MNIST

Xgboost-PyTorch Models on MNIST with K8s SageMaker Operators

xxl4tomxu98/Sentiment-SageMaker-K8s-Operators

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

gokul-pv/AWS-SageMaker

A repo for creating Sagemaker jobs

stvius/Sentiment-Analysis-Project

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

bahkali/Udacity-Sentiment-Analysis-Projects

Using SageMaker to deploy the semtiment analysis web app

coderhh/Sentiment-Analysis

You can try the final app here

gokul-pv/sagemaker-intel-project-modelbuild

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