High-Performance Implementation of Spectral Learning of Latent-Variable PCFGs (Cohen et al., 2013)
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Apr 11, 2021 - Python
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spectral-learning
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A Python package implementing Rectified Spectral Units (ReSUs), a biologically inspired neural building block for backprop-free training using spectral decomposition and Canonical Correlation Analysis (CCA).
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Jan 31, 2026 - Python
A from-scratch implementation of Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) using NumPy. Explores dimensionality reduction, linear algebra, and clustering on the Wine Quality dataset.
python data-science machine-learning numpy linear-algebra pca dimensionality-reduction svd wine-quality spectral-learning
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Apr 22, 2026 - Python
Simple spectral learning for weighted automata
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Jan 19, 2026 - Python
A neural architecture framework exploring low-rank multiplicative gating, spectral orthogonal bases (DCT/Walsh), complex-valued phase mixers, and conformal geometry over frozen substrates. Learning to equalize, not to sculpt.
pytorch neural-networks dwt discrete-cosine-transform hyperbolic-geometry dct low-rank-approximation wavelet-transform walsh-hadamard spectral-learning fwht complex-valued-neural-networks parameter-efficient-tuning hardware-efficiency
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Aug 15, 2026 - Python
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