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It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.
It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet-21k which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.
Deploy Infrastructure as Code - (IaC) based automated Containerized Application on AWS ECS Fargate Stack with enhanced security, CloudWatch monitoring, EFS integration, and a seamless Jenkins CI/CD pipeline for continuous delivery.
It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the task is to identify the objects and their positions in the image. A list of the objects that the model can identify is given at the end of the page. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc
It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet-21k which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.
This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub
It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of question-context strings. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.
This is a Extractive Question Answering model from PyTorch Hub
This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub
Amazon Web Services (AWS) Reviews
Ashu L.
Specialist / SQL Developer @ Aptia | Ex-Senior Analyst @ Mercer | Data Engineer @ Spazetech Solutions | Data Analyst @ Spazetech Solutions | Microsoft Azure Data Factory | Data Pipelining | Microsoft Power BI | Python | SQL | Excel VBAGreat for ETL, Report Generation and Data Reporting
Nakul B.
Software Engineer, Backend & Cloud Infrastructure | Go, Kubernetes, Docker, AWS/Azure/GCP, CI/CD | 6+ Yrs @ GS Lab | MS Computer Science 2026 | Open to Full-TimeFlexible, Scalable Functions with Sftrong Multi-Language Support
Verified User in Information Technology and Services
Effortless Deployment with Customization Challenges
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What is Amazon Web Services (AWS)?
Amazon Web Services (AWS), a subsidiary of Amazon, is a leading cloud computing platform that provides a wide range of on-demand services such as computing power, data storage, databases, networking, and artificial intelligence tools. It enables businesses to build, deploy, and scale applications without investing in physical infrastructure, using a flexible pay-as-you-go pricing model. With a global network of data centers, AWS supports organizations of all sizes—from startups to large enterprises—by offering reliable, secure, and highly scalable solutions for modern digital operations.