Sentiment Analysis
Determine positive or negative sentiment from text.This algorithm takes an input string and assigns a sentiment rating in the range [0-4].
Text Analysis or Natural Language Processing (NLP) is a way for computers to analyze, understand, and derive meaning from human language in a smart and useful way.
Determine positive or negative sentiment from text.This algorithm takes an input string and assigns a sentiment rating in the range [0-4].
This algorithm will compare documents (can be any kind of document) and report which documents are the most similar.
Language Detector analyses a given text and detects the language it is written in.
This algorithm takes in raw text, either on its own, or as a set of documents, and outputs candidate tags for the text.
Machine learning is a set of mathematical approaches to teaching computers to learn based on large quantities of data, instead of human step by step instruction.
This algorithm detects the programming language of source code with high accuracy (about 99.4% top-1 accuracy for a Github dataset).
Face Recognition is a state-of-the-art deep learning algorithm that can train on human faces and recognize them later.
This algorithm is able to discover not only what's in an image, but where it is too!
Computer Vision gives us the ability to teach a computer to make meaning of the physical world through vision.
Colorful Image Colorization is an algorithm that takes in a black & white photos and returns the colorized version of it.
Deep Learning is at the cutting edge of what machines can do, and developers can do.
A deep convolutional neural network which up-scales images without the typical pixelation artifacts.
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