Sparsemax.torch
Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Disan | 295 | 6 years ago | 10 | apache-2.0 | Python | |||||
| Code of Directional Self-Attention Network (DiSAN) | ||||||||||
| Pytorch Batch Attention Seq2seq | 215 | 5 years ago | 2 | Python | ||||||
| PyTorch implementation of batched bi-RNN encoder and attention-decoder. | ||||||||||
| Rgat | 96 | 2 years ago | 3 | apache-2.0 | Python | |||||
| A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811 | ||||||||||
| Text Summarization | 57 | 6 years ago | 4 | Python | ||||||
| Text Summarization using Pointer Attention Models | ||||||||||
| Sparsemax.torch | 41 | 7 years ago | 1 | Lua | ||||||
| Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification" | ||||||||||
| Keras_attention_block | 24 | 5 years ago | 2 | December 24, 2017 | other | Python | ||||
| attention block for keras Functional Model with only tensorflow backend | ||||||||||
| Deep Recurrent Attention Model | 20 | 8 years ago | 1 | Python | ||||||
| Apply reinforcement learning to visual attention | ||||||||||
| Dgcnn | 13 | 4 years ago | 3 | February 02, 2020 | mit | Python | ||||
| Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018). | ||||||||||
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