Natural Language Processing
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Otherno licenseupdated Jun 28, 2024
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
$ git clone https://github.com/kaiyinzhou/NLPGNN.git🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
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。
中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model
Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]
Use BiLSTM_attention, BERT, ALBERT, RoBERTa, XLNet model to classify the SST-2 data set based on pytorch
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Data from GitHub · snapshot Nov 13, 2026