Code and associated files for the deploying ML models within AWS SageMaker

Conversion from MxNet to Tensorflow for Sagemaker Object Detection Training

Projects using S3, Amazon SageMaker, AWS Lambda Function, Amazon Forecast; Projects related to SQL, Hadoop, Flink (Java), and Google Map API (Jun 2019 - Jul 2019)

The repository contain Udacity Nanodegree program 2nd project

The repository contain the 1st project of Udacity's Nanodegree 2020 Machine Learning Engineer Program.

A thyroid disease detection, Amazon Sagemaker using Scikit-learn Pipeline (StandardScalar & SVM)

MACHINE LEARNING / NLP / AMAZON SAGEMAKER: This an exemplary implementation of Web Application predicting if provided movie review is POSITIVE or NEGATIVE. This application uses Machine Learning model trained and deployed on Amazon SageMaker environment.

Sentiment Analysis WebApp using LSTM, made with ❤️ in PyTorch and deployed on AWS🚀 Do 🌟 the repo and show some love.

Object Detection using Amazon Sagemaker from AWS

This code is used for making MindsDB run on Amazon SageMaker.

CI/CD Framework for an Image Classification model in Amazon SageMaker, as well as REST API for accessing the SageMaker endpoint.

Udacity's Machine Learning Nanodegree - Project 1- Deploy a Sentiment Analysis Model

In this Amazon SageMaker tutorial, you'll find labs for setting up a notebook instance, feature engineering with XGBoost, regression modeling, hyperparameter tuning, bring your custom model etc.

Running your TensorFlow models in Amazon SageMaker

This is a demo for Amazon SageMaker build-in algo BlazingText on Chinese article title classification. BlazingText could apply to word2vec and text classification.

Project 1 of the Udacity Machine Learning Engineer Nanodegree Program. Deploy of the Sentiment Analysis Model.

Project 2 of the Udacity Machine Learning Engineer Nanodegree Program. Plagiarism detector with machine learning.

This solution combines Amazon Pinpoint with Amazon SageMaker to help automate the process of collecting customer data, predicting customer churn using ML, and maintaining a tailored audience segment for messaging.

Implementation of Image Classification using Visual Transformers in Amazon SageMaker based on the ideas from research paper - Visual Transformers: Token-based Image Representation and Processing for Computer Vision.