基于Pytorch和torchtext的自然语言处理深度学习框架。
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Updated
Dec 14, 2020 - Python
基于Pytorch和torchtext的自然语言处理深度学习框架。
NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
🐍 Python Implementation and Extension of RDF2Vec
PyTorch implementation of the Word2Vec (Skip-Gram Model) and visualizing the trained embeddings using TSNE
Word2Vec sikp-gram model with negative sampling implementation with python3
An embedding-based approach for cross-site account correlation
An implementation of word2vec skip-gram algorithm
gdp is generating distributed representation code sets written by pytorch. This code sets is including skip gram and cbow.
This repository contains what I'm learning about NLP
Social trust Network Embedding (ICDM 2019)
Framework for Representation Learning on Financial Statement Networks
Some demo word2vec models implemented with pytorch, including Continuous-Bag-Of-Words / Skip-Gram with Hierarchical-Softmax / Negative-Sampling.
Word2Vec Skip-Gram model implementation using TensorFlow 2.0 to learn word embeddings from a small Wikipedia dataset (text8). Includes training, evaluation, and cosine similarity-based nearest neighbors
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