划痕ai
scratchai-nightl的Python项目详细描述
scratchai
生成
文档
目录：
- 分类
| Model | Paper | Implementation | Configurations |
|---|---|---|---|
| Lenet | http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf | Implementation | |
| Alexnet | https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf | Implementation | |
| VGG | https://arxiv.org/pdf/1409.1556.pdf | Implementation | VGG11, VGG11_BN, VGG13, VGG13_BN, VGG16_BN, VGG19, VGG19_BN, VGG_Dilated (For all the normal configurations) |
| Resnet | https://arxiv.org/abs/1512.03385 | Implementation | Resnet18, Resnet34, Resnet50, Resnet101, Resnet150, Resnet_dilated (For all the previous resnets) |
| GoogLeNet | https://www.cs.unc.edu/~wliu/papers/GoogLeNet.pdf | Implementation | |
| Resnext | https://arxiv.org/abs/1611.05431 | NA |
- 分段
| Model | Paper | Implementation |
|---|---|---|
| UNet | https://arxiv.org/abs/1505.04597 | Implementation [Not checked] |
| ENet | https://arxiv.org/abs/1606.02147 | Implementation [Not checked] |
- 生成性对抗网络
| Model | Paper | Implementation |
|---|---|---|
| DCGAN | https://arxiv.org/abs/1511.06434 | NA |
| CycleGAN | https://arxiv.org/abs/1703.10593 | Implementation [Not checked] |
- 样式转换
| Model | Paper | Implementation |
|---|---|---|
| Image Transformation Network Justin et al. | Perceptual Losses Paper Supplementary Material | Implementation |
- 攻击
| Attacks | Paper | Implementation |
|---|---|---|
| Noise | NA | Implementation |
| Semantic | https://arxiv.org/abs/1703.06857 | Implementation |
| Saliency Map Method | https://arxiv.org/pdf/1511.07528.pdf | Ongoing |
| Fast Gradient Method | https://arxiv.org/abs/1412.6572 | Implementation |
| Projected Gradient Descent | https://arxiv.org/pdf/1607.02533.pdf https://arxiv.org/pdf/1706.06083.pdf | Implementation |
| DeepFool | https://arxiv.org/abs/1511.04599pdf | Implementation |
教程
如何充分利用scratchai的教程可以在这里找到：https://github.com/iArunava/scratchai/tree/master/tutorials
这些是正在进行的教程列表，scratchai正在寻找越来越多的贡献。如果你愿意贡献
请查看CONTRIBUTING.md/打开问题。
许可证
此存储库下的代码是在mit许可下分发的。请随意在您自己的工作中使用它，并适当引用到此存储库。
欢迎加入QQ群-->： 979659372
