Mulann
Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pytorch Playground | 2,366 | a year ago | 9 | mit | Python | |||||
| Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet) | ||||||||||
| Numpy_neural_network | 307 | 3 years ago | 4 | apache-2.0 | Jupyter Notebook | |||||
| 仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ... | ||||||||||
| Swift4tf | 130 | 4 years ago | 1 | Jupyter Notebook | ||||||
| A set of notebooks explaining swift for tensorflow optimized to run in Google Collaboratory. | ||||||||||
| How Far Can We Go With Mnist | 59 | 7 years ago | ||||||||
| A collection of codes for 'how far can we go with MNIST' challenge | ||||||||||
| Layerwise Relevance Propagation | 51 | 6 years ago | 4 | Python | ||||||
| Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers | ||||||||||
| Handwritten_digit_recognition | 46 | 5 years ago | Python | |||||||
| Handwritten digit recognition with MNIST & Keras | ||||||||||
| Mnist Baselines | 45 | 5 years ago | mit | Python | ||||||
| Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project | ||||||||||
| Pico Cnn | 40 | 3 years ago | 6 | bsd-3-clause | C++ | |||||
| Lightweight C implementation of CNNs for Embedded Systems | ||||||||||
| Mnist Competition | 34 | 7 years ago | 2 | Python | ||||||
| mnist competition submission repo for Tensorflow KR group | ||||||||||
| Kuzushiji_mnist | 23 | 5 years ago | Jupyter Notebook | |||||||
| Kuzushiji-MNIST - Capsule Network, VGG and ResNet classifiers for the "lost" Japanese language dataset | ||||||||||
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