🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥
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Updated
Dec 9, 2021 - Python
🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥
A librosa STFT/Fbank/mfcc feature extration written up in PyTorch using 1D Convolutions.
Python code for generating Leung-Malik (LM) filter bank that is typically used in texture analysis and classification.
Implements High-Gamma dataset decoding using Filter Bank Common Spatial Pattern with rLDA classification and Neural Networks.
Web Audio high quality spectogram from biquad bandpass filters
Continuous wavelet transform (CWT) using Morlet filter bank: intuitive reparametrisation + GPU support.
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