udacity/ML_SageMaker_Studies

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

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aws-samples/amazon-sagemaker-mlops-workshop

MLOps workshop with Amazon SageMaker

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anubhavshrimal/Machine-Learning

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

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aws-samples/amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve

Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint

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aws-samples/whisper-audio-inference-for-amazon-sagemaker

This is a short example showing how to utilize Amazon SageMaker's real time endpoints with OpenAI's open source Whisper model for audio transcription.

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awslabs/sagemaker-defect-detection

Detect Defects in Products from their Images using Amazon SageMaker

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

Deploy Stable Diffusion Model on Amazon SageMaker Endpont

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aws-samples/aws-mlops-pipelines-terraform 📦

MLOps on AWS using Amazon SageMaker Pipelines

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giuseppeporcelli/end-to-end-ml-sm

End to end Machine Learning with Amazon SageMaker

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aws-samples/amazon-sagemaker-predictive-maintenance-deployed-at-edge 📦

This workshop will familiarize you with some of the key steps towards building an end-to-end predictive maintenance system leveraging Amazon SageMaker, Amazon Polly and the AWS IoT suite.

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aorabdel/Udacity-Deep-Learning-Nanodegree

My Projects Submission to Udacity's Deep Learning Nanodegree Program

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aws-samples/amazon-sagemaker-predict-accessibility 📦

Build end-to-end Machine Learning pipeline to predict accessibility of playgrounds in NYC

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bentoml/aws-sagemaker-deploy 📦

Fast model deployment on AWS Sagemaker

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Jithsaavvy/Sentiment-analysis-from-MLOps-paradigm

This project promulgates an automated end-to-end ML pipeline that trains a biLSTM network for sentiment analysis, experiment tracking, benchmarking by model testing and evaluation, model transitioning to production followed by deployment into cloud instance via CI/CD

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aws-samples/sagemaker-multi-model-endpoint-tensorflow-computer-vision

In this repo, we show how to host two computer vision models trained using the TensorFlow framework under one SageMaker multi-model endpoint.

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aws-samples/amazon-sagemaker-endpoint-deployment-of-siamese-network-with-torchserve

Twin Neural Network Training with PyTorch and fast.ai and its Deployment with TorchServe on Amazon SageMaker

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victor369basu/SagemakerHuggingfaceDashboard

This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset.

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hjlopes/sagemaker-sentiment-analysis

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

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aws-samples/reinvent2021-aim408-high-performance-cost-effective-model-deployment-amazon-sagemaker

This repo contains demo code for reInvent2021 session AIM408 Achieve high performance and cost-effective model deployment

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aws-samples/amazon-sagemaker-pipeline-deploy-manage-100x-models-python-cdk

This GitHub repository showcases the implementation of a comprehensive end-to-end MLOps pipeline using Amazon SageMaker pipelines to deploy and manage 100x machine learning models. The pipeline covers data pre-processing, model training/re-training, hyperparameter tuning, data quality check,model quality check, model registry, and model deployment.

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enginBozkurt/deep-learning-nanodegree

Udacity Deep Learning Nanodegree Projects

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eswar3/sentiment-analysis-sagemaker-deployment

Project from Deep Learning Nanodegree - Udacity

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prateeksawhney97/Plagiarism-Detector-Using-SageMaker

Second project of the Udacity Machine Learning Engineer Nanodegree program where a Plagiarism Detector is created using custom similarity features amongst source and answer file such as containment and longest common subsequence. Further, trained and deployed the model on Amazon Sagemaker.

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salehsargolzaee/Deploy-PyTorch-Model-using-SageMaker

Deploying a PyTorch model using AWS SageMaker

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developers-cosmos/Explore-AWS-Quicksight

This Repository Contains Detailed Explanation of AWS QuickSight's Latest feature( Augmenting QuickSight WIth SageMaker) . It Also Contains Deploying your own models in SageMaker AWS.

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flrngel/simple-estimator-and-sagemaker

Simple guide to use tf.estimator and deploy to AWS SageMaker (after training with your GPU)

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ChaitanyaC22/Udacity-AWS-MLE-ND-Project2-Build-a-ML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker

The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.

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aws-samples/optimize-foundation-models-deployment-on-amazon-sagemaker

In this workshop, we demonstrate how to choose the right container and right instance types, optimize container parameters, and set up the right autoscaling policies and how to use APIs to get recommendations with Amazon SageMaker

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aws-samples/amazon-sagemaker-workshop-for-huggingface

Workshop for running HuggingFace Models on Amazon SageMaker.

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haythemtellili/NLP-Multilabel-classification

Train Multilabel NLP Classification using Pytroch and huggingface with deployment using Amazon SageMaker

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jcpsantiago/sagemaker-multimodel-R

AWS Sagemaker Multi-Model Server for R

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Asad-Ismail/fruits-classfication

Fruit classification tensorflow

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Physicist91/sentiment-analysis

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

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GOVINDDIXIT/Movie-Reviews-Sentiment-Analysis

Part of Udacity Nanodegree

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nishit3/Kisan-Sevak

Deep-Learning and IoT based farming assistance and monitoring system.

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aws-samples/sagemaker-domain-disaster-recovery

SageMaker Domain (SageMaker Classic) Disaster Recovery

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ytobi/deploying-a-sentiment-analysis-model

A recurrent neural network deployed on SageMaker for determining the sentiment of a movie review

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glenmiracle18/ai-video-sentimentml-ml_model

A project aimed at analyzing videos sentiments and emotions from a custom built machine learning model using tensorflow, python, etc

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Jimmymugendi/bulding-domain-expert-model-on-aws-sagemaker

This repo hosts a proof-of-concept (poc) development for a domain expert model using the aws sagemaker meta llama 2 7B foundation model.

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Alpha-131/MLOps-Pipeline

This project deploys a pre-trained GPT-2 language model on Amazon SageMaker using Hugging Face Transformers. It encompasses model download, S3 upload, SageMaker deployment, Lambda function integration, and API Gateway setup. Dedicated scripts manage these tasks, supported by a CI/CD pipeline for efficient deployment.

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ChukwuemekaAham/aws-ml-classification-task

This notebook demonstrates how to leverage transfer learning to use your own image dataset to build and train an image classification model using MXNet and Amazon SageMaker.

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dnyanshwalwadkar/bike-rental-timeseries-forcasting-on-AWS-DeepAR

The Amazon SageMaker DeepAR forecasting algorithm is a supervised learning algorithm for forecasting scalar (one-dimensional) time series using recurrent neural networks (RNN).When your dataset contains hundreds of related time series, DeepAR outperforms the standard ARIMA and ETS methods. You can also use the trained model to generate forecasts for new time series that are similar to the ones it has been trained on.

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khairy84/Practical-Data-Science-on-the-AWS-Cloud

10 learning projects using AWS SageMaker.

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FairozaAmira/SageMaker-Project

A part of Udacity Deep Learning Nanodegree Project

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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

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coreyjs/sentiment-analysis-sagemaker

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nka-coder/sentiment-analysis-for-film-review

A Notebook that allows you to determine the sentiment of a reviewer on a movie based on the rewiew that he wrote.

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nka-coder/Project-Plagiarism-Detector

A Notebook that allows you to check if a document is plagiarize from a known original source document.

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rohanjn98/sentiment-analysis-sagemaker-deployment

Sentiment Analysis Model Deployment Using Amazon SageMaker

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ravireddy07/DL_Deploying_Sentimental_Model

Project from Deep Learning Nanodegree - Udacity

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rui-ren/Natural-Language-Processing

The repository for NLP projects like Sentiment Analysis, Part of Speech, Topic Modeling, Machine Translation, Chatbox, DNN speech Recognizer etc.

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jananiarunachalam/Machine-Learning-Engineer-Udacity

Udacity Nanodegree Exercises and Projects

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dineshgopal29/plagiarism_detector_sagemaker

Plagiarism Detector using AWS Sagemaker

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nerdimite/bert-deployment-aws

Code for the FullStack AI Live Coding Series- Part 3 (CellStrat AI Lab)

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hardikaj96/MyMacroChef

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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.

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deepanshu-yadav/aws-deployment

This is the solution for the project -1 (AWS Deployment) that I developed for machine learning Nanodegree. It contains code for deploying a sentiment analysis model from imdb dataset on AWS Sagemaker.

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manankshastri/Sentiment-Analysis

Sentiment Analysis on movie reviews

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happinessk/machine-model-aws

machine learning model to predict whether a customer will enroll for a certificate of deposit based on past customer behavior.

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PranavDarshan/ML-Workflow-Scones-Unlimited

ML Workflow for a company called Scones Unlimited. Image classification model that can automatically detect which kind of vehicle delivery drivers have, in order to route them to the correct loading bay and orders.

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dhanushpittala11/HuggingFaceModelDeployment_AWS_Sagemaker

This project is about deploying HuggingFace model(distilbert-base-uncased-distilled-squad) on AWS sagemaker for the task of question Answering. The model is configured ,IAM role is created for permissions to create endpoint and the model is deployed to Sagemaker Inference.

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Atulok0506/AWS-Sagemaker-ML-project

This project is about predicting flight prices using xgboost library

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caseywhorton/deep-ar-mlops-project

This repo automates training of a Deep-AR algorithm using a Sagemaker pipeline.

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oozdal/Mobile-Price-Classification-with-AWS-SageWaker

This project focuses on building end-to-end machine learning pipeline using AWS SageMaker to predict the price range of mobile phones based on their specifications, enhancing consumer decision-making and streamlining the development process.

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shrikantnaidu/Sentiment-Analysis-on-AWS-SageMaker

Sentiment Analysis on AWS

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SteliosGian/sagemaker-endpoint-deployment

Sagemaker endpoint deployment with Lambda and API Gateway

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rohit-chandra/penguin_classification

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AjNavneet/AppleQualitySegmentation_TensorFlow_SageMaker_UNet

Image segmentation model for checking apple quality using UNet model architecture on TensorFlow along with AWS SageMaker deployment.

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netsatsawat/sagemaker-bring-your-own-model

This repository outlined how to deploy your trained model (bring your own model) to deploy on Amazon SageMaker

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JennaFar/elastic-data-factory

Elastic Data Factory

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LucienCastle/loan-delinquency-prediction

Predicts if a customer will delinquent using ML classification models

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GauravG-20/Udacity-AWS-MLE-ND-Project2-Build-a-ML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker

The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.

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supreeth-c/pose-detection

The repository is to predict human joint location from JPG images that have a pixel size of 256*256. This will be done using the Movnet Singlepose thunder pretrained model, which will be deployed on AWS using CF and SDK.

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veturespot/AWS-Sagemaker

Build , Train and Deploy Machine Learning Model Using AWS SageMaker . Handled Version Controlling and Cost-Efficient by flushing Endpoints at the final Stage

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brian-kipkoech-tanui/sagemaker-ML-workflow

Image Classifiers are used in the field of computer vision to identify the content of an image and it is used across a broad variety of industries, from advanced technologies like autonomous vehicles and augmented reality, to eCommerce platforms, and even in diagnostic medicine.

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gokul-pv/sagemaker-intel-project-modeldeploy

A repo for setting pipeline for deploying model as sagemaker endpoint

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cae0027/deploy-sentiment-analysis-model-sagemaker

As last Udacity Deep Learning Nanodegree project...we build a we app (http://webhome.auburn.edu/~cae0027/resources/sentiment-analysis/deployed.html) to classify movie review as either POS or NEG. The app sends requests to AWS Sagemaker hosted Sentiment Analysis model, gives feedback to the user through an Endpoint API..

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eitansela/sagemaker-mme-gpu-triton-java-client

Run Multiple Models on the Same GPU with Amazon SageMaker Multi-Model Endpoints Powered by NVIDIA Triton Inference Server. A Java client is also provided.

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ChildishGirl/sagemaker-migration

Python CDK stack for network infrastructure for SageMaker VPC only mode.

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reedemus/dog_breed_classifier_2

Train and deploy custom PyTorch model in AWS SageMaker

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reedemus/ML_SageMaker_Studies Fork of udacity/ML_SageMaker_Studies

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

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ManjinderSingh3/Loan-Repayment-Prediction-using-AWS-Sagemaker

AWS Sagemaker service was used to build, train and deploy Artificial Neural Network on AWS cloud. Created S3 bucket to store dataset and trained model.

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justinbellucci/sentiment-analysis-app

Movie review sentiment analysis application trained and deployed on AWS. End-to-end development and deployment process using AWS Sagemaker, Lambda, API Gateway

Language: Python - Size: 212 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Biomapas/B.CfnSagemakerEndpoint

AWS CDK resource that handles the deployment and update of SageMaker models' endpoint any time the code changes in your S3 bucket.

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fningtian/sagemaker-deployment

Deploying a Pytorch model in Amazon SageMaker and connecting a web app to it

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daflockinger/bitcoin-price-oracle

Bitcoin Price Prediction Oracle made with AWS DeepAR

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debdattasarkar/SageMaker-Practice-on-AWS

SageMaker Practice on AWS

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fningtian/plagiarism-detection

Deploying a random forest classfier to detect plagiarism

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ierolsen/Udacity-SageMaker-Project

This repo contains the first project of Udacity Machine Learning Engineer NanoDegree program.

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justinhtn/sagemaker-sentiment-analysis

Web app that predicts the sentiment of user submitted text. Built with AWS Sagemaker.

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bahkali/Plagiarism-detector

Build a model on SageMaker to detect plagiarism in the text file.

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bahkali/Udacity-Sentiment-Analysis-Projects

Using SageMaker to deploy the semtiment analysis web app

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tooth2/Sentiment-Analysis

Sentiment Analysis : PyTorch Implementation, Tensorflow Keras Implementation

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Ayushi96/Plagiarism_Detection

This is an implementation of a Plagiarism Detection Project that uses Random Forest for Classification of answer text as plagiarized or not.

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satyajitovelil/SageMaker-Sentiment_Analysis-WebApp

Udacity's Machine Learning Nanodegree Graded Project. Includes a binary classification neural network model for sentiment analysis of movie reviews and scripts to deploy the trained model to a web app using AWS Lambda.

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jbagd/plagiarism-detection

Plagiarism detection using SageMaker.

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bhaveshwadhwani/Deploying-a-Sentiment-Analysis-Model-on-Amazon-Sagemaker

Deploying-a-Sentiment-Analysis-Model-on-Amazon-Sagemaker using Pytorch

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karthikbhamidipati/sentiment-analysis-sagemaker

Sentiment Analysis Web App is an RNN performing sentiment analysis on movie reviews complete with publicly accessible API and a simple web page that interacts with the deployed endpoint. This is built using AWS SageMaker, AWS Lambda, and AWS API Gateway.

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shrikantnaidu/Using-TensorFlow-with-AWS-SageMaker

Tensorflow on AWS

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Alexanderfrs/Sentiment-analysis-app

Recurrent neural network implementation to determine the sentiment of a movie review using an IMDB data set.

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