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
ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.
3D Pointclouds annotation and Instance segmentation for plant phenotyping
Deploying a PyTorch model using AWS SageMaker
Deploying sentiment analysis model with Sagemaker trained on the IMDB dataset using LSTM in PyTorch
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…
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
Contains solution for plagiarism detection project (2nd project of ml nanodegree udacity) .Uses two features contaiment and longest common subsequence to identify plagiarism.
PyTorch Forecasting SageMaker Examples
A pointer to video lectures I gave as a teaching assistant for graduate level Applied Machine Learning
Example Python smaples for running your local code as a SageMaker training job using @Remote decorator
Using SageMaker to deploy the semtiment analysis web app
A repo for creating Sagemaker jobs
A repo containing end to end sagemaker mlops pipeline for model building
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
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