Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
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Updated
Mar 28, 2022 - Python
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).
An Image Reconstructor that applies fast proximal gradient method (FISTA) to the wavelet transform of an image using L1 and Total Variation (TV) regularizations
Pyoneer is a Python 3 package for the continuous recovery of non-bandlimited periodic signals with finite rates of innovation (e.g. Dirac streams) from generalised measurements.
Use Ridge Regression and Lasso Regression in prostate cancer data
Proximal-point methods for machine learning
A package for fitting regularized models from scikit-learn via proximal gradient descent
An efficient GPU-compatible library built on PyTorch, offering a wide range of proximal operators and constraints for optimization and machine learning tasks.
Implementation and brief comparison of different First Order and different Proximal gradient methods, comparison of their convergence rates
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