Detect Defects in Products from their Images using Amazon SageMaker
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Updated
Dec 21, 2022 - Python
Detect Defects in Products from their Images using Amazon SageMaker
Deploy Stable Diffusion Model on Amazon SageMaker Endpont
3D Pointclouds annotation and Instance segmentation for plant phenotyping
Contains solution for plagiarism detection project (2nd project of ml nanodegree udacity) .Uses two features contaiment and longest common subsequence to identify plagiarism.
A repo for creating Sagemaker jobs
An update to date SageMaker Version 2 Machine Learning endpoint building and connection with Kubernetes cluster backend with SageMaker Kubernetes Operators
Xgboost-PyTorch Models on MNIST with K8s SageMaker Operators
Deploying sentiment analysis model with Sagemaker trained on the IMDB dataset using LSTM in PyTorch
Using SageMaker to deploy the semtiment analysis web app
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
PyTorch Forecasting SageMaker Examples
Deploying a PyTorch model using AWS SageMaker
A repo containing end to end sagemaker mlops pipeline for model building
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 bet…
A pointer to video lectures I gave as a teaching assistant for graduate level Applied Machine Learning
ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.
Example Python smaples for running your local code as a SageMaker training job using @Remote decorator
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