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Projects in Awesome Lists tagged with sagemaker-deployment

A curated list of projects in awesome lists tagged with sagemaker-deployment .

https://github.com/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.

aws llama2 llms pytorch s3-bucket sagemaker-deployment

Last synced: 19 Jan 2026

https://github.com/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

ai api-gateway aws docker ffmpeg machine-learning meld neon nextjs15 pandas python sagemaker-deployment tensorflow tokenizer

Last synced: 11 Apr 2026

https://github.com/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.

aws aws-iot deeplens lambda mxnet python sagemaker sagemaker-deployment

Last synced: 18 Apr 2026

https://github.com/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.

aws s3-bucket sagemaker-deployment

Last synced: 04 Jun 2026

https://github.com/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.

aws-lambda aws-step-functions image-classification jupyter-notebook ml-workflow sagemaker sagemaker-deployment sagemaker-studio udacity-machine-learning-nanodegree

Last synced: 20 Nov 2025

https://github.com/35px/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

ai aws docker ffmpeg machine-learning meld neon nextjs15 pandas python sagemaker-deployment tensorflow

Last synced: 14 Apr 2026

https://github.com/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.

aws huggingface-transformers jupyterlab python pytorch question-answering s3-bucket s3-storage sagemaker sagemaker-deployment sagemaker-studio sagemakerendpoint

Last synced: 05 May 2026

https://github.com/justinhtn/sagemaker-sentiment-analysis

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

lstm-model sagemaker-deployment sentimental-analysis

Last synced: 16 Jan 2026

https://github.com/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.

aws aws-cdk aws-cdk-python aws-cloudformation sagemaker sagemaker-deployment sagemaker-endpoint

Last synced: 30 Apr 2026