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

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

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

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

Official implementation of IEEE TPAMI 2022 paper "Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow"

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

ADMM based Scalable Machine Learning on Spark

admm for cnn layerwise weight low bit quantization

Use Ridge Regression and Lasso Regression in prostate cancer data

port of ADMM examples for python

Distributed Multidisciplinary Design Optimization

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

[L4DC 2025] Controlling Pariticipation in Federated Learning with Feedback

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

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