pytorch-cn
- Autograd mechanics (ycszen)(DL-ljw)
- CUDA semantics (ycszen)
- Extending PyTorch (KeithYin)
- Multiprocessing best practices (ycszen)
- Serialization semantics (ycszen)
- torch(koshinryuu)(飞彦)
- torch.Tensor(weigp)(飞彦)
- torch.Storage(kophy)
- torch.nn
- Parameters(KeithYin)
- Containers(KeithYin)
- Convolution Layers(yichuan9527)
- Non-linear Activations(swordspoet)
- Normalization layers(XavierLin)
- Recurrent layers(KeithYin)(Mosout)
- Linear layers( )(Mosout)
- Dropout layers( )(Mosout)
- Sparse layers(Mosout)
- Distance functions
- Loss functions(KeithYin)(DL-ljw)
- Vision layers(KeithYin)
- Multi-GPU layers(KeithYin)
- Utilities(KeithYin)
- torch.nn.functional
- Convolution functions(ycszen)(铁血丹心)
- Pooling functions(ycszen)(铁血丹心)
- Non-linear activations functions(ycszen)
- Normalization functions(ycszen)
- Linear functions(dyl745001196)
- Distance functions(dyl745001196)
- Loss functions(tfygg)(DL-ljw)
- Vision functions(KeithYin)
- torch.nn.init(kophy)(luc)
- torch.optim(ZijunDeng)(祁杰)
- torch.autograd(KeithYin)(祁杰)
- torch.multiprocessing(songbo.han)
- torch.legacy(ycszen)
- torch.cuda(ycszen)
- torch.utils.ffi(ycszen)
- torch.utils.data(ycszen)
- torch.utils.model_zoo(ycszen)
- torchvision (KeithYin)
- torchvision.datasets (KeithYin)(loop)
- torchvision.models (KeithYin)
- torchvision.transforms (KeithYin)(loop)
- torchvision.utils (KeithYin)