Squeezenet Chainer
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Awesome_deep_learning_interpretability | 699 | 7 months ago | 2 | mit | ||||||
| 深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码) | ||||||||||
| Attention_is_all_you_need | 293 | 7 years ago | 1 | bsd-3-clause | Jupyter Notebook | |||||
| Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer. | ||||||||||
| Kiss | 94 | 4 years ago | 3 | gpl-3.0 | Python | |||||
| Code for the paper "KISS: Keeping it Simple for Scene Text Recognition" | ||||||||||
| Models | 82 | 4 years ago | 3 | mit | Python | |||||
| Models and examples built with Chainer | ||||||||||
| Deep Coder | 80 | 5 years ago | 1 | Python | ||||||
| Re-implement DeepCoder (https://openreview.net/pdf?id=ByldLrqlx) | ||||||||||
| Deep Learning For Human Part Discovery In Images | 63 | 7 years ago | 5 | Python | ||||||
| Implementation with Chainer | ||||||||||
| Cgp Cnn | 55 | 6 years ago | 3 | mit | Python | |||||
| A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award) | ||||||||||
| Bayesgrad | 48 | 5 years ago | mit | Jupyter Notebook | ||||||
| BayesGrad: Explaining Predictions of Graph Convolutional Networks | ||||||||||
| Googlenet | 29 | 8 years ago | 1 | mit | Python | |||||
| Implementation of GoogLeNet by chainer (Going Deeper with Convolutions: https://arxiv.org/abs/1409.4842) | ||||||||||
| Audiovisualsceneawaredialog | 20 | 4 years ago | 4 | mit | Python | |||||
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