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This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/ ). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of sentenc

This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub

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. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

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 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.

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. 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 Image Classification model from TensorFlow Hub

This is a Object Detection Answering model from TensorFlow Hub

This is a Extractive Question Answering model from PyTorch Hub

PartyRock makes learning easy with a hands-on, code-free app builder. Experiment with prompt engineering techniques, review generated responses, and develop intuition for generative AI while creating and exploring fun apps.

Our AI-based Passport Scanning Recognition System would reduce the need for 60 office workers employed manual verification and tracking. Additionally, the has a real time automated data entry tool to streamline and maintain the database of over 100,000 aviation personnel.

The Nitro Enclaves Developer AMI contains the necessary tools and components to build enclave applications. It also contains samples, such as hello-enclave, vsock_sample and kmstool, to demonstrate how to use and develop your own enclave applications.

This is an Image Classification model from PyTorch Hub. It takes an image as input and classifies the image to one of the 1000 classes.

AWS Developer Support offers technical assistance and resources to developers using AWS services, helping them troubleshoot issues and optimize their applications.

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AWS App Studio is a generative AI–powered service that uses natural language to build business applications, empowering a new set of builders to create applications in minutes. With App Studio, technical professionals such as IT project managers, data engineers, enterprise architects, and solution architects can quickly develop applications tailored to their organization's needs—without requiring deep software development skills.

Datadog is a comprehensive monitoring and security platform designed for cloud-scale applications, offering real-time observability of servers, databases, tools, and services. It enables organizations to monitor their entire infrastructure, detect and resolve issues swiftly, and optimize performance across various environments. Key Features and Functionality: - Infrastructure Monitoring: Provides real-time visibility into cloud and on-premises environments, ensuring optimal performance and ava

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