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PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)
The main features of tomrunia/pytorchwavelets are: Model Implementations, To be Classified.
Projects with overlapping indexed features include: jingweiz/pytorch-dnc — Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom. truskovskiyk/nima.pytorch. alexis-jacq/pytorch-sketch-rnn. edouardoyallon/pyscatwave — Fast Scattering Transform with CuPy/PyTorch. onlytailei/pytorch-value-iteration-networks — PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper). ypxie/pytorch-neucom — Pytorch implementation of DeepMind's differentiable neural computer paper.
Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom
PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)