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.

A popular deep learning library that includes modules for computer vision tasks such as image classification, segmentation, and generation. With support for dynamic computation graphs and easy deployment on multiple platforms, this app is a favorite among researchers and developers.

A lexical database of English words, organized by synsets (groups of synonyms) and hypernymy (relationships between concepts)

A suite of NLP tools for sentiment analysis, entity recognition, and summarization, with industry-specific versions for social media, healthcare, and more

A Facebook-developed library for text classification and word embeddings, with support for multiple languages

A Python library for building and analyzing NLP models, with a focus on deep learning methods

A Python library for processing textual data, including sentiment analysis, noun phrase extraction, and part-of-speech tagging

A Python-powered annotation tool for creating custom datasets for NLP model training

A suite of NLP tools developed by Stanford University, including tokenization, named entity recognition, and sentiment analysis

A Python library for NLP tasks such as named entity recognition, part-of-speech tagging, and dependency parsing