Sparse Optimisation Research Code

Scientific Computational Imaging COde

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

[ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang

TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software

CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)

Belief propagation with sparse matrices (scipy.sparse) in Python for LDPC codes. Includes NumPy implementation of message passing (min-sum and sum-product) and a few other decoders.

[IJCV 2021] Python implementation of deblatting

Python interactive interface for TinyMPC

ADMM based Scalable Machine Learning on Spark

admm for cnn layerwise weight low bit quantization

port of ADMM examples for python

Use Ridge Regression and Lasso Regression in prostate cancer data

Distributed Multidisciplinary Design Optimization

Implementing an ADMM based optimization approach as an alternative to backpropagation for training neural networks.

SVM solved by ADMM applied to distributed network

Solving the linear programming-based neural network verification problem through Alternating Direction Method of Multipliers (ADMM).

introducing cronos: convex neural networks in JAX for all your binary classification needs!