A powerful and flexible framework for training object detection models using deep learning techniques. With support for multiple pre-trained models and easy customization, this app is a go-to solution for computer vision tasks

A cloud-based NLP service that analyzes text for sentiment, entities, and concepts

A Google-owned platform for building conversational interfaces using NLP and machine learning

PyTorch Text is a library built on PyTorch, an open source machine learning library, for natural language processing tasks. It provides functions for pre-processing and building models for text classification, text generation, and language modeling. It also includes pre-trained models, datasets, and other utilities for quickly building models for any text-related task. Additionally, PyTorch Text includes support for many popular deep learning models, including convolutional neural networks, recurrent neural networks, and transformers.

A cloud-based service that uses pre-trained models for object detection, OCR, and image analysis. With support for a wide range of languages and platforms, this app is a popular choice for developers building intelligent applications.

An open-source OCR engine that can recognize text in images and convert it into machine-readable format. With support for multiple languages and image formats, this app is a versatile tool for document processing and information extraction.

A cloud-based computer vision platform that offers APIs for object detection, recognition, and tagging. With support for custom training and integration with popular platforms such as Slack and Salesforce, this app is a flexible solution for businesses of all sizes.

An AI-powered tool that can transform any image into a work of art using style transfer techniques. With support for multiple artistic styles and easy customization, this app is a fun and creative way to explore the possibilities of computer vision.

BERT (Bidirectional Encoder Representations from Transformers) is an open source natural language processing (NLP) system developed by Google Research. It is a deep learning model that uses unsupervised techniques to pre-train contextual representations from unlabeled text. BERT is designed to help computers understand the meaning of ambiguous language in text by using surrounding text to determine the most relevant meaning. It can be used for a variety of tasks such as question answering, sentiment analysis, text classification, and more. BERT has achieved state-of-the-art results in many NLP tasks and has been adopted by hundreds of companies and organizations.

A cloud-based computer vision service that can analyze images and videos for objects, faces, emotions, and text. With support for real-time processing and integration with other AWS services, this app is a powerful solution for a wide range of applications.