Nmp
Code for Neural Message Passing for Visual Relationship Detection
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Keras Textclassification | 1,641 | 7 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 | ||||||||||
| Text Classification Models Pytorch | 309 | 5 years ago | 1 | mit | Python | |||||
| Implementation of State-of-the-art Text Classification Models in Pytorch | ||||||||||
| Rcnn Text Classification | 129 | 7 years ago | 2 | Python | ||||||
| Recurrent Conventinal NN Text Classification for chainer | ||||||||||
| Rcnn Text Classification | 116 | 6 years ago | 6 | Python | ||||||
| Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015) | ||||||||||
| Opentpod | 110 | 3 years ago | 5 | apache-2.0 | CSS | |||||
| Open Toolkit for Painless Object Detection | ||||||||||
| R Cnn_light | 64 | 3 years ago | mit | Python | ||||||
| Regional-Convolution Neural Network for blink detection based on contouring. | ||||||||||
| Rcnn Relation Extraction | 63 | 6 years ago | 2 | mit | Python | |||||
| Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction | ||||||||||
| Rcnn | 49 | 6 years ago | Python | |||||||
| implementations of Recurrent Convolutional Neural Network for object recognition | ||||||||||
| Keras Rcnn | 48 | 6 years ago | Python | |||||||
| Recurrent Convolutional Neural Networks in Keras | ||||||||||
| Nsm | 32 | 5 years ago | 6 | Python | ||||||
| Neural State Machine implemented in PyTorch | ||||||||||
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