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
Social trust Network Embedding (ICDM 2019)
PyTorch implementation of the Word2Vec (Skip-Gram Model) and visualizing the trained embeddings using TSNE
An implementation of word2vec skip-gram algorithm
An embedding-based approach for cross-site account correlation
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.
Keras implementation of Skip-gram Word2Vec
CBOW, Skip-gram with nagative sampling - Pytorch
gdp is generating distributed representation code sets written by pytorch. This code sets is including skip gram and cbow.
A TensorFlow implementation of the skip-gram model
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