Common use cases such as extraction of text, images, audio, and video from various file types, their distributed representations, labeling, nearest neighbor search, learned NNs, etc., will be compiled into a simple API for users who want to use machine learning at low cost.
Provide the ability to search the above data with better accuracy and performance.
Sentence Extraction
jp.co.interprism.darwin.text
Image Extraction
jp.co.interprism.darwin.image
Image Extraction
jp.co.interprism.darwin.media
Morphological Analysis
interprism.morphological
Distributed Representation
interprism.vectorization
Label Learning
interprism.label_learning
Label Prediction
interprism.label_prediction
Nearest Neighbor Search
interprism.neighborhood_graph
Learned NN
interprism.wikipedia
Search Engine
interprism.search
OS
Same as the guaranteed operation conditions for Java and Python