Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Nlp Tutorial | 13,226 | 6 months ago | 35 | mit | Jupyter Notebook | |||||
Natural Language Processing Tutorial for Deep Learning Researchers | ||||||||||
Pytorch Tutorial | 7,372 | a year ago | 28 | mit | Jupyter Notebook | |||||
Build your neural network easy and fast, 莫烦Python中文教学 | ||||||||||
Cnn Text Classification Tf | 5,256 | 4 years ago | 110 | apache-2.0 | Python | |||||
Convolutional Neural Network for Text Classification in Tensorflow | ||||||||||
Tensorflow Book | 4,443 | 4 years ago | 14 | mit | Jupyter Notebook | |||||
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations. | ||||||||||
Awesome Deep Learning Music | 2,650 | 5 months ago | 2 | mit | TeX | |||||
List of articles related to deep learning applied to music | ||||||||||
Invoicenet | 2,297 | 6 months ago | 62 | mit | Python | |||||
Deep neural network to extract intelligent information from invoice documents. | ||||||||||
Keras Textclassification | 1,641 | 6 months ago | 9 | December 19, 2020 | 1 | mit | Python | |||
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN | ||||||||||
Chinese Text Classification Pytorch | 1,609 | 4 years ago | 28 | mit | Python | |||||
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。 | ||||||||||
Lectures Labs | 1,309 | a year ago | 2 | mit | Jupyter Notebook | |||||
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris | ||||||||||
Awesome Relation Extraction | 831 | 2 years ago | 2 | |||||||
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP). |