l1-norm

A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS

Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.

Analysis of the robustness of non-negative matrix factorization (NMF) techniques: L2-norm, L1-norm, and L2,1-norm

Comparing performance of AE and VAE using the Continuous Bernoulli loss and using mse loss, on the unlabelled part of the stl10 image dataset

Package to compute spherical ridgelets

Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.

Python implementation of Manhattan metric distance over the Ulam Spiral

Iterative structured filter pruning for CNN kernels by l1-norm. Implemented with MultiStep learning rate method.

Solver for minimization problems over the l1-ball

Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values.

Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.

Calculate the sum of absolute values (L1 norm) of strided array elements using pairwise summation.

Calculate the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.

Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.

Obtaining molecular partial charges using direct minimization

Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.

Normalizes an input matrix using various norms and dimensions for flexible data scaling.

Compute the sum of absolute values (L1 norm) along one or more ndarray dimensions.

Lomb Scargle L1 version, as described in Makarov et al. 2024 (arXiv:2405.12324)