Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Attention Learn To Route | 931 | 4 months ago | 27 | mit | Jupyter Notebook | |||||
Attention based model for learning to solve different routing problems | ||||||||||
Struct Attn | 221 | 7 years ago | 1 | mit | Lua | |||||
Code for Structured Attention Networks https://arxiv.org/abs/1702.00887 | ||||||||||
Textclf | 217 | 10 months ago | 8 | mit | Python | |||||
TextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。 | ||||||||||
Sa Det3d | 132 | 2 years ago | 5 | mit | Python | |||||
SA-Det3D: Self-attention based Context-Aware 3D Object Detection (ICCV-AvVision-2021) | ||||||||||
Ram | 132 | 5 years ago | 4 | Python | ||||||
Recurrent Visual Attention Model | ||||||||||
Shortformer | 132 | 3 years ago | mit | Python | ||||||
Code for the Shortformer model, from the ACL 2021 paper by Ofir Press, Noah A. Smith and Mike Lewis. | ||||||||||
Inc Few Shot Attractor Public | 81 | 4 years ago | 5 | mit | Python | |||||
Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks" | ||||||||||
Interpretable_predictions | 60 | 3 years ago | 3 | mit | Python | |||||
Interpretable Neural Predictions with Differentiable Binary Variables | ||||||||||
Lambdanetworks | 50 | 3 years ago | 3 | mit | Python | |||||
Attention | 47 | 3 years ago | gpl-3.0 | Jupyter Notebook | ||||||