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)

    来源(书栈小编注)