GitHub

word2Vec and Glove implementation using numpy.

In word2vec and glove, we generate an embedding space for the words. The program outputs a vector.txt file which contains the embedding vectors. run_word2vec : runs the word2vec file run_glove : runs ...
IEEE

Design and Implementation of Work Order Acceptance System Based on Microservice Architecture

Abstract: Professional customer service to solve or circulate corresponding customer problems can not only solve customer problems quickly, improve the service image of the enterprise, but also lay a ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
GitHub

Word2Vec From Scratch

Word2Vec is a family of neural network models that learn dense vector representations (embeddings) of words from large corpora of text. These embeddings capture semantic relationships between words, ...