The AISE PyTorch 0.4.1 Python 2.7 CUDA 9.2 Notebook is a pre-configured Amazon Machine Image (AMI) designed to facilitate deep learning development on AWS. It integrates PyTorch 0.4.1, Python 2.7, and CUDA 9.2, providing a ready-to-use environment for machine learning practitioners. This setup enables users to leverage GPU acceleration for training and deploying deep learning models efficiently. Key Features and Functionality: - Pre-Configured Environment: Combines PyTorch 0.4.1, Python 2.7, a
The seamless, professional Shopify integration with eBay, Amazon, Etsy, Walmart, Fruugo, NewEgg, and Wayfair. Selling on marketplaces presents an incredible opportunity to reach millions of buyers around the world. As your business expands, ChannelUnity is here to support your growth into the global marketplace. Staying on top of multiple selling platforms can be incredibly difficult, expensive and time consuming. But with our integrated services, you can control all of them* through one dashbo
Fulfillment-Box is a large international holding company providing third-party logistics services for e-commerce. Fulfillment-Box combines fulfillment center and FBA prep center services to offer entrepreneurs a one-stop solution. The company has warehouses in key locations for e-commerce - in several European countries, as well as in the USA, Canada, Turkey, and China. The warehouse network is regularly expanding. Fulfillment-Box uses cloud-based software that allows for quick and easy intera
SASS program to automate the restocking of Amazon FBA inventory
The "Python 3 Minimal with Debian 10" Amazon Machine Image (AMI) offers a streamlined and secure environment for developers and system administrators seeking a lightweight Debian 10 setup with Python 3 pre-installed. This AMI is designed to facilitate the rapid deployment of Python-based applications and services on AWS EC2 instances. Key Features and Functionality: - Minimal Debian 10 Installation: Provides a clean and efficient Debian 10 Buster environment, reducing overhead and potential vu
Playwright on Headless Ubuntu is a preconfigured Amazon Machine Image designed to facilitate seamless browser automation and testing. Hosted on Ubuntu 24.04 LTS, this environment is optimized for executing headless Playwright tests, enabling developers to automate interactions across multiple browser engines, including Chromium , Firefox, and WebKit . The AMI comes equipped with sample code snippets and preinstalled language bindings for Python, Node.js, and Java, providing a convenient starting
K-Hosting by Akoova is a fully automated, managed cloud platform specifically designed for Magento and Adobe Commerce stores. Built on Amazon Web Services (AWS), it offers exceptional scalability and performance, ensuring that ecommerce sites remain operational and responsive under varying traffic conditions. By integrating intelligent automation and real-time collaboration, K-Hosting allows retailers to focus on enhancing their digital experience without the complexities of managing the underly
Imports complementary products from Amazon to your online store
Review Central is a product review management software for Amazon sellers.
AWS Elemental Server provides fast and reliable video processing for file-based workflows. The software-based solution performs simultaneous, faster-than-real-time conversion of multiple video files to create mezzanine deliverables, traditional on-demand assets or adaptive bitrate outputs for delivery to TVs, PCs and mobile devices.
This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub
This is a Image Classification model from TensorFlow 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 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 sentences. The model available for deployment is created by attaching a binary classification layer to the output of the Text Embedding model, and then fine-tuning th
This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_uncased_L-12_H-768_A-12/2 ). 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 WikiPedia and BookCorpus returns an embedding of the i
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.
This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub]
The AWS Glue Connector for Google BigQuery simplifies the process of connecting AWS Glue jobs to extract and load data from BigQuery. The BigQuery Connector provides comprehensive access to BigQuery data, facilitating cloud ETL processes for operational reporting, backup and disaster recovery, data governance, and more.