AI Tools

Artificial Intelligence Resources Hub

Top Artificial Intelligence Tools For Various Sectors

The growth of Artificial Intelligence is also insisting the top technology companies develop the tools that assist to learn, develop, launch, and manage the AI ecosystems. As of today, there are numerous types of tools already available in the market. Sometimes, it is hard to find the right tool specific to required for any particular functionality. Here is the list of top AI tools available in the market and some basic details about those. Remember, with the growth of AI technology, new tools continuously coming into the market. We will keep updating the list from time to time.

AI Tools List

  • TensorFlow.js - TensorFlow.js is a library for machine learning in JavaScript. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js.
  • Colaboratory - Colaboratory, or "Colab" for short, allows you to write and execute Python in your browser, with zero configuration required, Free access to GPUs, and Easy sharing.
  • Google Open Source - Bringing all the value of open source to Google and all the resources of Google to open source. It enables and encourages collaboration and the development of technology, solving real-world problems.
  • Google Datasets - In order to contribute to the broader research community, Google periodically releases data of interest to researchers in a wide range of computer science disciplines.
  • Google Dataset Search - It provides access to the user to find datasets stored in thousands of repositories across the web to make these datasets universally accessible and useful for everyone.
  • Google Cloud TPU - Empowering businesses with Google Cloud AI, train, and run machine learning models faster than ever before. Cloud Tensor Processing Unit or TPU is the custom-designed machine learning ASIC that powers Google products like Translate, Photos, Search, Assistant, and Gmail.
  • Google Cloud AutoML - Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology.
  • Natural Language Toolkit - NLTK is a leading platform for building Python programs to work with human language data that provides easy-to-use interfaces to over 50 corpora and lexical resources.
  • Stanford Log-linear Part-Of-Speech Tagger - A Part-Of-Speech Tagger (POS Tagger) is a piece of software that reads the text in some language and assigns parts of speech to each word (and other tokens), such as noun, verb, adjective, etc., although generally computational applications use more fine-grained POS tags like 'noun-plural'.