Topic: sagemaker-deployment Goto Github
Some thing interesting about sagemaker-deployment
Some thing interesting about sagemaker-deployment
sagemaker-deployment,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.
User: alpha-131
sagemaker-deployment,The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
User: anubhavshrimal
sagemaker-deployment,My Projects Submission to Udacity's Deep Learning Nanodegree Program
User: aosama16
sagemaker-deployment,Fruit classification tensorflow
User: asad-ismail
sagemaker-deployment,Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint
Organization: aws-samples
sagemaker-deployment,Twin Neural Network Training with PyTorch and fast.ai and its Deployment with TorchServe on Amazon SageMaker
Organization: aws-samples
sagemaker-deployment,MLOps workshop with Amazon SageMaker
Organization: aws-samples
sagemaker-deployment,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.
Organization: aws-samples
sagemaker-deployment,Build end-to-end Machine Learning pipeline to predict accessibility of playgrounds in NYC
Organization: aws-samples
sagemaker-deployment,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.
Organization: aws-samples
sagemaker-deployment,Workshop for running HuggingFace Models on Amazon SageMaker.
Organization: aws-samples
sagemaker-deployment,MLOps on AWS using Amazon SageMaker Pipelines
Organization: aws-samples
sagemaker-deployment,Deploy Stable Diffusion Model on Amazon SageMaker Endpont
Organization: aws-samples
sagemaker-deployment,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
Organization: aws-samples
sagemaker-deployment,This repo contains demo code for reInvent2021 session AIM408 Achieve high performance and cost-effective model deployment
Organization: aws-samples
sagemaker-deployment,In this repo, we show how to host two computer vision models trained using the TensorFlow framework under one SageMaker multi-model endpoint.
Organization: aws-samples
sagemaker-deployment,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.
Organization: aws-samples
sagemaker-deployment,Detect Defects in Products from their Images using Amazon SageMaker
Organization: awslabs
Home Page: https://awslabs.github.io/sagemaker-defect-detection/
sagemaker-deployment,Fast model deployment on AWS Sagemaker
Organization: bentoml
sagemaker-deployment,Deploying-a-Sentiment-Analysis-Model-on-Amazon-Sagemaker using Pytorch
User: bhaveshwadhwani
sagemaker-deployment,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.
User: brian-kipkoech-tanui
sagemaker-deployment,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.
User: chaitanyac22
sagemaker-deployment,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.
User: chukwuemekaaham
sagemaker-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.
User: deepanshu-yadav
sagemaker-deployment,Contains solution for plagiarism detection project (2nd project of ml nanodegree udacity) .Uses two features contaiment and longest common subsequence to identify plagiarism.
User: deepanshu-yadav
sagemaker-deployment,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.
Organization: developers-cosmos
sagemaker-deployment,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.
User: dnyanshwalwadkar
sagemaker-deployment,Udacity Deep Learning Nanodegree Projects
User: enginbozkurt
sagemaker-deployment,Project from Deep Learning Nanodegree - Udacity
User: eswar3
sagemaker-deployment,A part of Udacity Deep Learning Nanodegree Project
User: fairozaamira
sagemaker-deployment,Simple guide to use tf.estimator and deploy to AWS SageMaker (after training with your GPU)
User: flrngel
sagemaker-deployment,End to end Machine Learning with Amazon SageMaker
User: giuseppeporcelli
sagemaker-deployment,Part of Udacity Nanodegree
User: govinddixit
sagemaker-deployment,
User: hardikaj96
sagemaker-deployment,Train Multilabel NLP Classification using Pytroch and huggingface with deployment using Amazon SageMaker
User: haythemtellili
sagemaker-deployment,Deep Learning Udacity Nanodegree - SageMaker Deployment of a Sentiment Analysis model
User: hjlopes
sagemaker-deployment,Deployment of sentiment analysis model using Amazon sagemaker
User: jayshree-s
sagemaker-deployment,AWS Sagemaker Multi-Model Server for R
User: jcpsantiago
sagemaker-deployment,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
User: jithsaavvy
sagemaker-deployment,A Notebook that allows you to determine the sentiment of a reviewer on a movie based on the rewiew that he wrote.
User: nka-coder
sagemaker-deployment,Udacity DLND Project
User: p-rit
sagemaker-deployment,Deploying sentiment analysis model with Sagemaker trained on the IMDB dataset using LSTM in PyTorch
User: physicist91
sagemaker-deployment,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.
User: prateeksawhney97
sagemaker-deployment,Project from Deep Learning Nanodegree - Udacity
User: ravireddy07
sagemaker-deployment,Sentiment Analysis Model Deployment Using Amazon SageMaker
User: rohanjn98
sagemaker-deployment,Deploying a PyTorch model using AWS SageMaker
User: salehsargolzaee
sagemaker-deployment,Machine Learning on AWS using various methods/examples
User: sukeshreddy
sagemaker-deployment,Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
Organization: udacity
sagemaker-deployment,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.
User: victor369basu
sagemaker-deployment,A recurrent neural network deployed on SageMaker for determining the sentiment of a movie review
User: ytobi
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