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

Convex Low-resource Accent-Robust Language Detection in Speech Recognition

admm for cnn layerwise weight low bit quantization

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

Sparse index replication engine: tracks the S&P 500, Nasdaq-100, Russell 2000 and Nifty 50 with a small basket of stocks (~10% of each index) using a custom ADMM solver for L1-regularized portfolio optimization. Built for direct indexing, tax-loss harvesting and low-cost benchmark tracking. Python, FastAPI, Next.js, Azure.

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

Use Ridge Regression and Lasso Regression in prostate cancer data

port of ADMM examples for python

Distributed Multidisciplinary Design Optimization